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Work on features, fix bugs, and refactor code — all in parallel. Superset In Progress 3 Analyze Tab vs Agent Usag... Generating PyTorch MNIST Experiments Generating Fix PR Comments Fetching I... Generating Ready for Review 3 Enterprise Order Mana...now +93\\-18· Perfect! I've implem... Set up Cursor Rules fo...30m +37· Set up Cursor Rules f... Bioinformatics Tools45m +135\\-21· Bioinformatics Tools \\> ⌘↵ Universal Compatibility Works with any CLI agent Superset is agent-agnostic. Use Claude Code, OpenCode, Cursor, or any CLI-based coding tool. Switch between agents seamlessly. superset main New Terminal... Claude Claude OpenCode OpenCode Codex Codex Gemini Gemini Cursor Agent Cursor Agent Terminals (3) Isolation Changes are isolated Each agent runs in its own isolated Git worktree. No merge conflicts, no stepping on each other's changes. Review and merge work when you're ready. components\u002FHeroSection\u002FHeroSection.tsx Side by SideInline Messages Commits3 Against Main Unstaged HeroSection.tsx+12\\-3 GridBackground.ts+45 constants.ts+8\\-2 ProductDemo.tsx+23\\-15 1 export function HeroSection() { 2 return ( 3\\- \u003Cdiv className=\"hero-old\"> 4+ \u003Csection className=\"relative py-24\"> 5+ \u003CGridBackground \u002F> 6 \u003Cdiv className=\"max-w-7xl mx-auto\"> 7\\- \u003Ch1>Welcome\u003C\u002Fh1> 8+ \u003Cmotion.h1 9+ initial={{ opacity: 0 }} 10+ animate={{ opacity: 1 }} 11+ > 12+ Superset 13+ \u003C\u002Fmotion.h1> 14 \u003C\u002Fdiv> 15\\- \u003C\u002Fdiv> 16+ \u003C\u002Fsection> 17 ); 18 } Open Anywhere Open in any IDE Jump into your favorite editor with one click. VS Code, Cursor, Xcode, JetBrains IDEs, or any terminal — open worktrees exactly where you need them. superset src Search files... CursorOpen in components HeroSection.tsx constants.ts index.ts hooks utils Finder Finder Cursor Cursor ⌘O VS Code VS Code Xcode Xcode Sublime Text Sublime Text Terminal Terminal JetBrains JetBrains What builders say about Superset [ Abhi Aiyer Abhi Aiyer Co-founder & CTO at Mastra Just realized that I have done all my work in @superset\\_sh since Dec 26. ](https:\u002F\u002Fx.com\u002Fabhiaiyer\u002Fstatus\u002F2013782002332283180) [ Zach Dive Zach Dive Co-founder & CEO at Adam if you're not using @superset\\_sh, you're getting left behind in 2026 ](https:\u002F\u002Fx.com\u002Fzachdive\u002Fstatus\u002F2014038312508424597) [ Chase McDougall Chase McDougall Founding Engineer at Decoda Health @superset\\_sh is a sick product - love OS since I don't have to wait for someone else to fix bugs ](https:\u002F\u002Fx.com\u002FChaseMcDou\u002Fstatus\u002F2013458004977373643) [ Vlad Arbatov Vlad Arbatov Founding Engineer at Loyal superset became my default tools now so keep the great work folks ](https:\u002F\u002Fx.com\u002Fvladzima\u002Fstatus\u002F2032306550073610246) [ Chris Laupama Chris Laupama TS Lead at Webflow Oh snap @superset\\_sh is soooooo damn good! Now THIS is the experience I've been wanting for CLI agents! ](https:\u002F\u002Fx.com\u002Fchrislaupama\u002Fstatus\u002F2011148329443607037) [ Eric Clemmons Eric Clemmons Principal Engineer at Cloudflare Was using Warp, but now @superset\\_sh has become my primary terminal ](https:\u002F\u002Fx.com\u002Fericclemmons\u002Fstatus\u002F2013413118467056004) [ Leo Leo Co-founder & CTO at Outlit hasn't been a day i haven't used superset since onboarding complete paradigm shift on how i use ai to code ](https:\u002F\u002Fx.com\u002FLeosReal\u002Fstatus\u002F2027306293858586745) [ Elias Ståvik Elias Ståvik Founder at Cleanroom just started using remote desktop instead of ssh just to be able to use @superset\\_sh on my mac mini from my macbook pro generational product in the making, mark my words ](https:\u002F\u002Fx.com\u002Feliasstravik\u002Fstatus\u002F2020580091449708978) [ Gregor Zunic Gregor Zunic Co-founder & CTO at Browser Use Damn @superset\\_sh is really cool. You should try it. worktrees are a breeze cmd + t auto opens Claude Code you can view git changes within itself closing a laptop doesn't kill the sessions ](https:\u002F\u002Fx.com\u002Fgregpr07\u002Fstatus\u002F2013038355630432742) [ Felipe Coury Felipe Coury Codex at OpenAI If you prefer a more GUI-oriented approach to multiple agents in parallel, it seems like @superset\\_sh is doing a tremendous job. ](https:\u002F\u002Fx.com\u002Ffcoury\u002Fstatus\u002F2010477904472281220) [ Iven Iven Engineer at Paraflow Tested various GUI tools for git worktree and agents - Conductor, Vibe Kanban, Agentastic, Crystal, FleetCode, Emdash, Sculptor - but Superset suits my taste the best TranslatedShow original](https:\u002F\u002Fx.com\u002Fivenvd\u002Fstatus\u002F2011738469610242559) Frequently asked questions I already use an IDE like Cursor, is this for me? Which AI coding agents are supported? How does the parallel agent system work? Is Superset free to use? Can I use my own API keys? Try Superset now. 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Positioned as \"The Code Editor for AI Agents,\" the platform aims to maximize developer productivity by allowing users to spin up parallel branches of coding tasks, effectively eliminating the downtime typically spent waiting for single-agent execution. It is built for the next generation of software engineers who integrate autonomous agents into their local development workflows.\n\nThe visual identity is unapologetically technical and modern, utilizing a sophisticated dark mode aesthetic that resonates with the developer community. The design employs heavy, impactful typography and a structured grid layout to showcase social proof from industry giants like Microsoft, OpenAI, and Netflix. By combining a minimalist color palette with high-contrast elements and a clean, functional interface, Superset establishes a sense of power, efficiency, and cutting-edge technological authority.",[485,30,486],"Clean \u002F Minimalist","Typographic \u002F Big Type",[],[351,327],[309,305,306,121],[491,493,495,496],{"score":492,"category":125},57,{"score":494,"category":128},100,{"score":494,"category":131},{"score":494,"category":134},[498,500,501,502],{"score":499,"category":125},30,{"score":494,"category":128},{"score":494,"category":131},{"score":494,"category":134},[144,148,152],"Website: Superset. Page: Homepage. Page type: Home \u002F Landing Page. Page title: Superset - Run 10+ parallel coding agents on your machine. Page description: Run 10+ parallel coding agents on your machine. Spin up new coding tasks while waiting for your current agent to finish. Quickly switch between tasks as they need your attention.. Page content: The Code Editor for AI Agents.The Cod Orchestrate 100+ coding agents in parallel. Works for any agents. Built for the AI era. Join WaitlistView on GitHub superset New Workspace superset(5) ⠼ new workspace creating... ⠼ use any agents +46\\-1 use-any-agents#733 create parallel branches +193 create-parallel-branches#815 see changes +394\\-23 see-changes#884 open in any IDE +33 open-in-any-ide#816 forward ports +127\\-8 forward-ports#902 ⌥Ports 4 use any agents 3002 see changes 300030015678 Claudeclaude Codexcodex Geminigemini Cursorcursor ⬛Terminal □ \\ ▐▛███▜▌ \\ \\ ▝▜█████▛▘ \\ \\ ▘▘ ▝▝ \\ Claude Code v2.0.74 Opus 4.5 · Claude Max ~\u002F.superset\u002Fworktrees\u002Fsuperset\u002Fcloud-ws ❯ \u002Fmcp MCP Servers 1 connected ❯1.superset-mcp✓ connected config: .mcp.json ❯Type a task for Claude... ↑ ❯ superset new ⠼Setting up new parallel environment... → create worktree → install deps → ready shell Review Changes #827 Commit message... ↑Push26 bun.lock +38\\-25 packages\u002Fdb\u002Fsrc\u002Fschema cloud-workspace.ts +119 enums.ts +21 apps\u002Fdesktop\u002Fsrc\u002Frenderer CloudTerminal.tsx +169 useCloudWorkspaces.ts +84 LegacyTerminalPane.tsx \\-42 WorkspaceSidebar.tsx +14 apps\u002Fapi\u002Fsrc\u002Ftrpc\u002Frouters ssh-manager.ts +277 index.ts +7 Review PR #827 Open cloud-workspace.tsenums.ts+4 more @@ -1,4 +1,6 @@ 1import { db } from \"..\u002Fdb\" +import { CloudWorkspace } from \".\u002Ftypes\" +import { createSSHConnection } from \".\u002Fssh\" 2 \\-export const getWorkspaces = () =\\> { +export const getWorkspaces = async () =\\> { 4 return db.query.workspaces ApproveComment External IDE src index.ts utils.ts types.ts import { Agent } from \"ai\" import { tools } from \".\u002Futils\" │ const agent = new Agent({ model: \"claude-4\", tools: \\[tools.read, tools.write\\] }) Use Any AgentsCreate Parallel BranchesSee ChangesOpen in Any IDE Trusted by builders from Microsoft OpenAI Netflix Wordware Salesforce Wix Datadog Intercom ByteDance Toss Google Vercel Cloudflare Amazon Microsoft OpenAI Netflix Wordware Salesforce Wix Datadog Intercom ByteDance Toss Google Vercel Cloudflare Amazon Parallel Execution Run dozens of agents at once Launch multiple AI coding agents across different tasks. Work on features, fix bugs, and refactor code — all in parallel. Superset In Progress 3 Analyze Tab vs Agent Usag... Generating PyTorch MNIST Experiments Generating Fix PR Comments Fetching I... Generating Ready for Review 3 Enterprise Order Mana...now +93\\-18· Perfect! I've implem... Set up Cursor Rules fo...30m +37· Set up Cursor Rules f... Bioinformatics Tools45m +135\\-21· Bioinformatics Tools \\> ⌘↵ Universal Compatibility Works with any CLI agent Superset is agent-agnostic. Use Claude Code, OpenCode, Cursor, or any CLI-based coding tool. Switch between agents seamlessly. superset main New Terminal... Claude Claude OpenCode OpenCode Codex Codex Gemini Gemini Cursor Agent Cursor Agent Terminals (3) Isolation Changes are isolated Each agent runs in its own isolated Git worktree. No merge conflicts, no stepping on each other's changes. Review and merge work when you're ready. components\u002FHeroSection\u002FHeroSection.tsx Side by SideInline Messages Commits3 Against Main Unstaged HeroSection.tsx+12\\-3 GridBackground.ts+45 constants.ts+8\\-2 ProductDemo.tsx+23\\-15 1 export function HeroSection() { 2 return ( 3\\- \u003Cdiv className=\"hero-old\"> 4+ \u003Csection className=\"relative py-24\"> 5+ \u003CGridBackground \u002F> 6 \u003Cdiv className=\"max-w-7xl mx-auto\"> 7\\- \u003Ch1>Welcome\u003C\u002Fh1> 8+ \u003Cmotion.h1 9+ initial={{ opacity: 0 }} 10+ animate={{ opacity: 1 }} 11+ > 12+ Superset 13+ \u003C\u002Fmotion.h1> 14 \u003C\u002Fdiv> 15\\- \u003C\u002Fdiv> 16+ \u003C\u002Fsection> 17 ); 18 } Open Anywhere Open in any IDE Jump into your favorite editor with one click. VS Code, Cursor, Xcode, JetBrains IDEs, or any terminal — open worktrees exactly where you need them. superset src Search files... CursorOpen in components HeroSection.tsx constants.ts index.ts hooks utils Finder Finder Cursor Cursor ⌘O VS Code VS Code Xcode Xcode Sublime Text Sublime Text Terminal Terminal JetBrains JetBrains What builders say about Superset [ Abhi Aiyer Abhi Aiyer Co-founder & CTO at Mastra Just realized that I have done all my work in @superset\\_sh since Dec 26. ](https:\u002F\u002Fx.com\u002Fabhiaiyer\u002Fstatus\u002F2013782002332283180) [ Zach Dive Zach Dive Co-founder & CEO at Adam if you're not using @superset\\_sh, you're getting left behind in 2026 ](https:\u002F\u002Fx.com\u002Fzachdive\u002Fstatus\u002F2014038312508424597) [ Chase McDougall Chase McDougall Founding Engineer at Decoda Health @superset\\_sh is a sick product - love OS since I don't have to wait for someone else to fix bugs ](https:\u002F\u002Fx.com\u002FChaseMcDou\u002Fstatus\u002F2013458004977373643) [ Vlad Arbatov Vlad Arbatov Founding Engineer at Loyal superset became my default tools now so keep the great work folks ](https:\u002F\u002Fx.com\u002Fvladzima\u002Fstatus\u002F2032306550073610246) [ Chris Laupama Chris Laupama TS Lead at Webflow Oh snap @superset\\_sh is soooooo damn good! Now THIS is the experience I've been wanting for CLI agents! ](https:\u002F\u002Fx.com\u002Fchrislaupama\u002Fstatus\u002F2011148329443607037) [ Eric Clemmons Eric Clemmons Principal Engineer at Cloudflare Was using Warp, but now @superset\\_sh has become my primary terminal ](https:\u002F\u002Fx.com\u002Fericclemmons\u002Fstatus\u002F2013413118467056004) [ Leo Leo Co-founder & CTO at Outlit hasn't been a day i haven't used superset since onboarding complete paradigm shift on how i use ai to code ](https:\u002F\u002Fx.com\u002FLeosReal\u002Fstatus\u002F2027306293858586745) [ Elias Ståvik Elias Ståvik Founder at Cleanroom just started using remote desktop instead of ssh just to be able to use @superset\\_sh on my mac mini from my macbook pro generational product in the making, mark my words ](https:\u002F\u002Fx.com\u002Feliasstravik\u002Fstatus\u002F2020580091449708978) [ Gregor Zunic Gregor Zunic Co-founder & CTO at Browser Use Damn @superset\\_sh is really cool. You should try it. worktrees are a breeze cmd + t auto opens Claude Code you can view git changes within itself closing a laptop doesn't kill the sessions ](https:\u002F\u002Fx.com\u002Fgregpr07\u002Fstatus\u002F2013038355630432742) [ Felipe Coury Felipe Coury Codex at OpenAI If you prefer a more GUI-oriented approach to multiple agents in parallel, it seems like @superset\\_sh is doing a tremendous job. ](https:\u002F\u002Fx.com\u002Ffcoury\u002Fstatus\u002F2010477904472281220) [ Iven Iven Engineer at Paraflow Tested various GUI tools for git worktree and agents - Conductor, Vibe Kanban, Agentastic, Crystal, FleetCode, Emdash, Sculptor - but Superset suits my taste the best TranslatedShow original](https:\u002F\u002Fx.com\u002Fivenvd\u002Fstatus\u002F2011738469610242559) Frequently asked questions I already use an IDE like Cursor, is this for me? Which AI coding agents are supported? How does the parallel agent system work? Is Superset free to use? Can I use my own API keys? Try Superset now. Join Waitlist. A Clean \u002F Minimalist, Dark Mode, Typographic \u002F Big Type website in the SaaS & Software industry. The overall color palette features Black, White, Gray. The typography features IBM Plex Mono (Sans Serif), Inter (Sans Serif). Built using Next.js, Node.js, React, Vercel. AI description: Superset is a high-performance developer tool designed to orchestrate and run multiple AI coding agents in parallel. Positioned as \"The Code Editor for AI Agents,\" the platform aims to maximize developer productivity by allowing users to spin up parallel branches of coding tasks, effectively eliminating the downtime typically spent waiting for single-agent execution. It is built for the next generation of software engineers who integrate autonomous agents into their local development workflows. The visual identity is unapologetically technical and modern, utilizing a sophisticated dark mode aesthetic that resonates with the developer community. The design employs heavy, impactful typography and a structured grid layout to showcase social proof from industry giants like Microsoft, OpenAI, and Netflix. By combining a minimalist color palette with high-contrast elements and a clean, functional interface, Superset establishes a sense of power, efficiency, and cutting-edge technological authority.",{"id":506,"website_id":507,"page_id":506,"name":508,"slug":509,"url":510,"website_name":508,"website_slug":509,"website_url":511,"result_url":510,"fetched_at":512,"score":378,"score_boost":377,"ai_score":513,"freshness_score":185,"scored_at":514,"page_name":39,"page_url":510,"page_title":515,"page_description":516,"page_content":517,"page_sort":377,"is_home":384,"is_home_rank":385,"page_type_id":386,"page_type_name":46,"cover":518,"cover_mobile":521,"cover_sequence":523,"translations":614,"industry":21,"styles":617,"credits":618,"font_families":619,"technologies":621,"pagespeed":622,"pagespeed_mobile":629,"buckets":635,"search_payload":636},"b4fc2131-7581-499e-b70e-1ec63863c3ed","d5f57e1e-ecb9-4528-ab07-d317ead0247b","Parallel","parallel-web-systems","https:\u002F\u002Fparallel.ai\u002F","https:\u002F\u002Fparallel.ai","2026-05-05T19:01:44.000Z",86,"2026-05-23T19:08:58.000Z","Parallel Web Systems | Infrastructure for intelligence on the web","Parallel develops a suite of agents and tool APIs for building AI with powerful access to the open web. SOC-2 Type II certified. ZDR Available for enterprises.","\\# AIs are the web's new user The highest accuracy web search for your AI [Start building P ](https:\u002F\u002Fplatform.parallel.ai\u002F)\\[Start building\\](https:\u002F\u002Fplatform.parallel.ai\u002F) ResearchMonitorExtractSearch TAB Run Monitor new product re ScanDaily Run Fetch TAB from TAB Run TAB ModeBasic Run Built for frontier teams, trusted by Fortune 500 [ Harvey logo Case Study](\u002Fblog\u002Fcase-study-harvey) Formation Bio logo Attio logo Owner logo Granola logo Monaco logo Manus logo Hex logo [ Modal logo Case Study](\u002Fblog\u002Fcase-study-modal) Dropbox logo Middesk logo Greptile logo Rogo logo [ Profound logo Case Study](\u002Fblog\u002Fcase-study-profound)[ Opendoor logo Case Study](\u002Fblog\u002Fcase-study-opendoor) ## A web API purpose-built for AIs Powering millions of daily requests Highest accuracy Production-ready outputs built on cross-referenced facts, with minimal hallucination. Predictable costs Flex compute budget based on task complexity. Pay per query, not per token. Evidence-based outputs Verifiability and provenance for every atomic output. Trusted SOC-II Type 2 Certified, trusted by leading startups and enterprises. Highest accuracy at every price point State of the art across the most challenging benchmarks [View All Benchmarks B ](\u002Fbenchmarks)\\[View All Benchmarks\\](\u002Fai\u002Fbenchmarks) HLE-SearchBrowseComp-SearchBrowseComp DeepResearch BenchWISER-Atomic [ COST (CPM) ACCURACY (%) ](https:\u002F\u002Fparallel.ai\u002Fblog\u002Fintroducing-parallel-search) Parallel Others Benchmark comparison across Cost (CPM) and Accuracy (%). ### About this benchmark This benchmark\\[benchmark\\](https:\u002F\u002Flastexam.ai\u002F) consists of 2,500 questions developed by subject-matter experts across dozens of subjects (e.g. math, humanities, natural sciences). Each question has a known solution that is unambiguous and easily verifiable, but requires sophisticated web retrieval and reasoning. Results are reported on a sample of 100 questions from this benchmark. Learn more in our latest blog\\[latest blog\\](\u002Fai\u002Fblog\u002Fintroducing-parallel-search). ### Methodology - \\- *\\\\Evaluation\\\\: Results are based on tests run using official Search MCP servers provided as an MCP tool to OpenAI's GPT-5 model using the Responses API. In all cases, the MCP tools were limited to only the appropriate web search tool. Answers were evaluated using an LLM as a judge (GPT 4.1). - \\- \\\\Cost Calculation\\\\: Cost reflects the average cost per query across all questions run. This cost includes both the search API call and LLM token cost. - \\- \\\\Testing Dates\\\\: Testing was conducted from November 3rd to November 5th. ## Highest accuracy at every price point State of the art across the most challenging benchmarks [View All Benchmarks B ](\u002Fbenchmarks)\\[View All Benchmarks\\](\u002Fai\u002Fbenchmarks) ### HLE Search LP | Series | Model | Cost (CPM) | Accuracy (%) | | --------- | ------------ | ----------- | ------------ | | Parallel | parallel | 82 | 47 | | Others | exa | 138 | 24 | | Others | tavily | 190 | 21 | | Others | perplexity | 126 | 30 | | Others | openai gpt-5 | 143 | 45 | ### About this benchmark This benchmark\\[benchmark\\](https:\u002F\u002Flastexam.ai\u002F) consists of 2,500 questions developed by subject-matter experts across dozens of subjects (e.g. math, humanities, natural sciences). Each question has a known solution that is unambiguous and easily verifiable, but requires sophisticated web retrieval and reasoning. Results are reported on a sample of 100 questions from this benchmark. Learn more in our latest blog\\[latest blog\\](\u002Fai\u002Fblog\u002Fintroducing-parallel-search). ### Methodology - \\- \\\\Evaluation\\\\: Results are based on tests run using official Search MCP servers provided as an MCP tool to OpenAI's GPT-5 model using the Responses API. In all cases, the MCP tools were limited to only the appropriate web search tool. Answers were evaluated using an LLM as a judge (GPT 4.1). - \\- \\\\Cost Calculation\\\\: Cost reflects the average cost per query across all questions run. This cost includes both the search API call and LLM token cost. - \\- \\\\Testing Dates\\\\: Testing was conducted from November 3rd to November 5th. ### BrowseComp Search LP | Series | Model | Cost (CPM) | Accuracy (%) | | --------- | ------------ | ----------- | ------------ | | Parallel | parallel | 156 | 58 | | Others | exa | 233 | 29 | | Others | tavily | 314 | 23 | | Others | perplexity | 256 | 22 | | Others | openai gpt-5 | 253 | 53 | ### About the benchmark This benchmark\\[benchmark\\](https:\u002F\u002Fopenai.com\u002Findex\u002Fbrowsecomp\u002F), created by OpenAI, contains 1,266 questions requiring multi-hop reasoning, creative search formulation, and synthesis of contextual clues across time periods. Results are reported on a sample of 100 questions from this benchmark. Learn more in our latest blog\\[latest blog\\](\u002Fai\u002Fblog\u002Fintroducing-parallel-search). ### Methodology - \\- \\\\Evaluation\\\\: Results are based on tests run using official Search MCP servers provided as an MCP tool to OpenAI's GPT-5 model using the Responses API. In all cases, the MCP tools were limited to only the appropriate web search tool. Answers were evaluated using an LLM as a judge (GPT 4.1). - \\- \\\\Cost Calculation\\\\: Cost reflects the average cost per query across all questions run. This cost includes both the search API call and LLM token cost. - \\- \\\\Testing Dates\\\\***: Testing was conducted from November 3rd to November 5th. ### New Browsecomp (LP) | Series | Model | Cost (CPM) | Accuracy (%) | | --------- | ---------- | ---------- | ------------- | | Parallel | Ultra | 300 | 45 | | Parallel | Ultra2x | 600 | 51 | | Parallel | Ultra4x | 1200 | 56 | | Parallel | Ultra8x | 2400 | 58 | | Others | GPT-5 | 488 | 38 | | Others | Anthropic | 5194 | 7 | | Others | Exa | 402 | 14 | | Others | Perplexity | 709 | 6 | CPM: USD per 1000 requests. Cost is shown on a Log scale. ### About the benchmark This benchmark\\[benchmark\\](https:\u002F\u002Fopenai.com\u002Findex\u002Fbrowsecomp\u002F), created by OpenAI, contains 1,266 questions requiring multi-hop reasoning, creative search formulation, and synthesis of contextual clues across time periods. Results are reported on a random sample of 100 questions from this benchmark. Read the blog\\[blog\\](\u002Fai\u002Fblog\u002Fdeep-research-benchmarks). ### Methodology - \\- Dates: All measurements were made between 08\u002F11\u002F2025 and 08\u002F29\u002F2025. - \\- Configurations: For all competitors, we report the highest numbers we were able to achieve across multiple configurations of their APIs. The exact configurations are below. - \\- GPT-5: high reasoning, high search context, default verbosity - \\- Exa: Exa Research Pro - \\- Anthropic: Claude Opus 4.1 - \\- Perplexity: Sonar Deep Research reasoning effort high ### RACER (LP) | Series | Model | Cost (CPM) | Win Rate vs Reference (%) | | -------- | ---------- | ---------- | ------------------------- | | Parallel | Ultra | 300 | 82 | | Parallel | Ultra2x | 600 | 86 | | Parallel | Ultra4x | 1200 | 92 | | Parallel | Ultra8x | 2400 | 96 | | Others | GPT-5 | 628 | 66 | | Others | O3 Pro | 4331 | 30 | | Others | O3 | 605 | 26 | | Others | Perplexity | 538 | 6 | CPM: USD per 1000 requests. 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By offering a suite of specialized APIs for web search, research, and data extraction, the platform enables AI models to interact with the open web with unprecedented accuracy and speed. The service is positioned as a critical layer of the AI stack, bridging the gap between large language models and real-time web intelligence.\n\nThe visual identity is sleek, technical, and decidedly modern, utilizing a clean, light-themed aesthetic that emphasizes clarity and precision. The design employs sophisticated UI components, such as glassmorphic search bars and subtle gradients, to simulate a high-tech operating environment. This minimalist yet functional approach speaks directly to a sophisticated audience of AI engineers and enterprise developers who value efficiency, transparency, and robust technical documentation.",[485,30,291],[],[620],"FT System Mono",[313,309,305,306,121],[623,624,626,628],{"score":228,"category":125},{"score":625,"category":128},84,{"score":627,"category":131},96,{"score":135,"category":134},[630,631,633,634],{"score":246,"category":125},{"score":632,"category":128},94,{"score":627,"category":131},{"score":135,"category":134},[148,152,144],"Website: Parallel. Page: Homepage. Page type: Home \u002F Landing Page. Page title: Parallel Web Systems | Infrastructure for intelligence on the web. Page description: Parallel develops a suite of agents and tool APIs for building AI with powerful access to the open web. SOC-2 Type II certified. ZDR Available for enterprises.. Page content: \\# AIs are the web's new user The highest accuracy web search for your AI [Start building P ](https:\u002F\u002Fplatform.parallel.ai\u002F)\\[Start building\\](https:\u002F\u002Fplatform.parallel.ai\u002F) ResearchMonitorExtractSearch TAB Run Monitor new product re ScanDaily Run Fetch TAB from TAB Run TAB ModeBasic Run Built for frontier teams, trusted by Fortune 500 [ Harvey logo Case Study](\u002Fblog\u002Fcase-study-harvey) Formation Bio logo Attio logo Owner logo Granola logo Monaco logo Manus logo Hex logo [ Modal logo Case Study](\u002Fblog\u002Fcase-study-modal) Dropbox logo Middesk logo Greptile logo Rogo logo [ Profound logo Case Study](\u002Fblog\u002Fcase-study-profound)[ Opendoor logo Case Study](\u002Fblog\u002Fcase-study-opendoor) ## A web API purpose-built for AIs Powering millions of daily requests Highest accuracy Production-ready outputs built on cross-referenced facts, with minimal hallucination. Predictable costs Flex compute budget based on task complexity. Pay per query, not per token. Evidence-based outputs Verifiability and provenance for every atomic output. Trusted SOC-II Type 2 Certified, trusted by leading startups and enterprises. Highest accuracy at every price point State of the art across the most challenging benchmarks [View All Benchmarks B ](\u002Fbenchmarks)\\[View All Benchmarks\\](\u002Fai\u002Fbenchmarks) HLE-SearchBrowseComp-SearchBrowseComp DeepResearch BenchWISER-Atomic [ COST (CPM) ACCURACY (%) ](https:\u002F\u002Fparallel.ai\u002Fblog\u002Fintroducing-parallel-search) Parallel Others Benchmark comparison across Cost (CPM) and Accuracy (%). ### About this benchmark This benchmark\\[benchmark\\](https:\u002F\u002Flastexam.ai\u002F) consists of 2,500 questions developed by subject-matter experts across dozens of subjects (e.g. math, humanities, natural sciences). Each question has a known solution that is unambiguous and easily verifiable, but requires sophisticated web retrieval and reasoning. Results are reported on a sample of 100 questions from this benchmark. Learn more in our latest blog\\[latest blog\\](\u002Fai\u002Fblog\u002Fintroducing-parallel-search). ### Methodology - \\- *\\\\Evaluation\\\\: Results are based on tests run using official Search MCP servers provided as an MCP tool to OpenAI's GPT-5 model using the Responses API. In all cases, the MCP tools were limited to only the appropriate web search tool. Answers were evaluated using an LLM as a judge (GPT 4.1). - \\- \\\\Cost Calculation\\\\: Cost reflects the average cost per query across all questions run. This cost includes both the search API call and LLM token cost. - \\- \\\\Testing Dates\\\\: Testing was conducted from November 3rd to November 5th. ## Highest accuracy at every price point State of the art across the most challenging benchmarks [View All Benchmarks B ](\u002Fbenchmarks)\\[View All Benchmarks\\](\u002Fai\u002Fbenchmarks) ### HLE Search LP | Series | Model | Cost (CPM) | Accuracy (%) | | --------- | ------------ | ----------- | ------------ | | Parallel | parallel | 82 | 47 | | Others | exa | 138 | 24 | | Others | tavily | 190 | 21 | | Others | perplexity | 126 | 30 | | Others | openai gpt-5 | 143 | 45 | ### About this benchmark This benchmark\\[benchmark\\](https:\u002F\u002Flastexam.ai\u002F) consists of 2,500 questions developed by subject-matter experts across dozens of subjects (e.g. math, humanities, natural sciences). Each question has a known solution that is unambiguous and easily verifiable, but requires sophisticated web retrieval and reasoning. Results are reported on a sample of 100 questions from this benchmark. Learn more in our latest blog\\[latest blog\\](\u002Fai\u002Fblog\u002Fintroducing-parallel-search). ### Methodology - \\- \\\\Evaluation\\\\: Results are based on tests run using official Search MCP servers provided as an MCP tool to OpenAI's GPT-5 model using the Responses API. In all cases, the MCP tools were limited to only the appropriate web search tool. Answers were evaluated using an LLM as a judge (GPT 4.1). - \\- \\\\Cost Calculation\\\\: Cost reflects the average cost per query across all questions run. This cost includes both the search API call and LLM token cost. - \\- \\\\Testing Dates\\\\: Testing was conducted from November 3rd to November 5th. ### BrowseComp Search LP | Series | Model | Cost (CPM) | Accuracy (%) | | --------- | ------------ | ----------- | ------------ | | Parallel | parallel | 156 | 58 | | Others | exa | 233 | 29 | | Others | tavily | 314 | 23 | | Others | perplexity | 256 | 22 | | Others | openai gpt-5 | 253 | 53 | ### About the benchmark This benchmark\\[benchmark\\](https:\u002F\u002Fopenai.com\u002Findex\u002Fbrowsecomp\u002F), created by OpenAI, contains 1,266 questions requiring multi-hop reasoning, creative search formulation, and synthesis of contextual clues across time periods. Results are reported on a sample of 100 questions from this benchmark. Learn more in our latest blog\\[latest blog\\](\u002Fai\u002Fblog\u002Fintroducing-parallel-search). ### Methodology - \\- \\\\Evaluation\\\\: Results are based on tests run using official Search MCP servers provided as an MCP tool to OpenAI's GPT-5 model using the Responses API. In all cases, the MCP tools were limited to only the appropriate web search tool. Answers were evaluated using an LLM as a judge (GPT 4.1). - \\- \\\\Cost Calculation\\\\: Cost reflects the average cost per query across all questions run. This cost includes both the search API call and LLM token cost. - \\- \\\\Testing Dates\\\\***: Testing was conducted from November 3rd to November 5th. ### New Browsecomp (LP) | Series | Model | Cost (CPM) | Accuracy (%) | | --------- | ---------- | ---------- | ------------- | | Parallel | Ultra | 300 | 45 | | Parallel | Ultra2x | 600 | 51 | | Parallel | Ultra4x | 1200 | 56 | | Parallel | Ultra8x | 2400 | 58 | | Others | GPT-5 | 488 | 38 | | Others | Anthropic | 5194 | 7 | | Others | Exa | 402 | 14 | | Others | Perplexity | 709 | 6 | CPM: USD per 1000 requests. Cost is shown on a Log scale. ### About the benchmark This benchmark\\[benchmark\\](https:\u002F\u002Fopenai.com\u002Findex\u002Fbrowsecomp\u002F), created by OpenAI, contains 1,266 questions requiring multi-hop reasoning, creative search formulation, and synthesis of contextual clues across time periods. Results are reported on a random sample of 100 questions from this benchmark. Read the blog\\[blog\\](\u002Fai\u002Fblog\u002Fdeep-research-benchmarks). ### Methodology - \\- Dates: All measurements were made between 08\u002F11\u002F2025 and 08\u002F29\u002F2025. - \\- Configurations: For all competitors, we report the highest numbers we were able to achieve across multiple configurations of their APIs. The exact configurations are below. - \\- GPT-5: high reasoning, high search context, default verbosity - \\- Exa: Exa Research Pro - \\- Anthropic: Claude Opus 4.1 - \\- Perplexity: Sonar Deep Research reasoning effort high ### RACER (LP) | Series | Model | Cost (CPM) | Win Rate vs Reference (%) | | -------- | ---------- | ---------- | ------------------------- | | Parallel | Ultra | 300 | 82 | | Parallel | Ultra2x | 600 | 86 | | Parallel | Ultra4x | 1200 | 92 | | Parallel | Ultra8x | 2400 | 96 | | Others | GPT-5 | 628 | 66 | | Others | O3 Pro | 4331 | 30 | | Others | O3 | 605 | 26 | | Others | Perplexity | 538 | 6 | CPM: USD per 1000 requests. Cost is shown on a Log scale. ### About the benchmark This benchmark\\[benchmark\\](https:\u002F\u002Fgithub.com …. A Clean \u002F Minimalist, Dark Mode, Glassmorphism website in the SaaS & Software industry. The overall color palette features White, Gray, Black. The typography features FT System Mono (Frost). Built using Amazon Web Services, Next.js, Node.js, React, Vercel. AI description: Parallel Web Systems provides high-performance infrastructure designed specifically for the next generation of AI agents. By offering a suite of specialized APIs for web search, research, and data extraction, the platform enables AI models to interact with the open web with unprecedented accuracy and speed. The service is positioned as a critical layer of the AI stack, bridging the gap between large language models and real-time web intelligence. The visual identity is sleek, technical, and decidedly modern, utilizing a clean, light-themed aesthetic that emphasizes clarity and precision. The design employs sophisticated UI components, such as glassmorphic search bars and subtle gradients, to simulate a high-tech operating environment. This minimalist yet functional approach speaks directly to a sophisticated audience of AI engineers and enterprise developers who value efficiency, transparency, and robust technical documentation.",{"id":638,"website_id":639,"page_id":638,"name":640,"slug":641,"url":642,"website_name":640,"website_slug":641,"website_url":642,"result_url":642,"fetched_at":643,"score":230,"score_boost":377,"ai_score":625,"freshness_score":644,"scored_at":645,"page_name":39,"page_url":642,"page_title":646,"page_description":647,"page_content":648,"page_sort":385,"is_home":384,"is_home_rank":385,"page_type_id":386,"page_type_name":46,"cover":649,"cover_mobile":652,"cover_sequence":654,"translations":745,"industry":21,"styles":748,"credits":749,"font_families":750,"technologies":755,"pagespeed":757,"pagespeed_mobile":763,"buckets":769,"search_payload":770},"973ae6be-1619-4c07-8e46-4ecf712af157","eb1843a2-4c56-4efb-bc7d-f155a3350e1d","Runner","runner","https:\u002F\u002Frunner.now","2026-04-23T09:36:17.000Z",63,"2026-05-23T19:28:15.000Z","Runner | Start Finishing with AI Workflow Automation","Stop asking. Start finishing. Runner connects Gmail, Calendar, Drive, Slack, and local files so you can prep meetings, draft follow-through, and get work done.","The AI App that Does the Work. Runner connects to the tools you already use to get work done. Download for Linux Runner has a 7 day free trial. 1 2 Prep for Sales Plan Sprints Plan Travel Interview Prep Troubleshoot Tech Prep for Sales Plan Sprints Plan Travel Interview Prep Troubleshoot Tech New Session Prep for Acme call tomorrow 2h Follow up with Notion deal 5h Renewal strategy for Figma 1d Prep for Acme call tomorrow Prep me for my Acme call tomorrow HubSpot HubSpot·Fetch Acme deal record — Negotiation stage, $84k ARR Gmail Gmail·Search recent Acme threads — 4 emails this week Google Calendar Google Calendar·Tomorrow 2 PM — 'Acme: Contract Review' with Eunice, Oleg, Derek Google Drive Google Drive·Found 'Acme Proposal v3.pdf' shared by Sarah, last edited Mar 14 Briefing for tomorrow's Acme call at 2 PM: Room - Eunice (VP Ops) — your champion - Oleg (CFO) — needs predictable costs - Derek (IT) — wants SSO + audit logs Talking points 1\\. SOC 2 Type II lands April 15 — unblocks Derek 2\\. Offer a 2-m What would you like to work on? My Project You talk, Runner runs 01 Runner doing the work Runner does the Work Most AI tools feed you generic answers or ask you to take actions yourself. Runner uses its intelligence to pull the information it needs and do the work. 02 Runner connecting to many apps One App, All Your Tools Runner connects to 50+ of the most-used apps and can pull and share context between them. No more switching tabs, copying data, or gluing apps together yourself. 03 Runner remembering context Runner Remembers Built in personal and team memory means Runner gets better each time you use it. It remembers what tools you use, how you use them, how you speak, and what matters to you. 04 Runner browsing the web Browser Automation Runner has a built in Chrome browser that searches the web to find what it needs. It opens separately so it won't interrupt your work. Runner browses and unblocks itself in the background while you keep going. 05 Runner asking for permission You are in control Runner asks your permission before it takes an action for you. As you trust Runner more, you can turn these safeguards off and go really fast. 06 Runner workflow library Workflow Library Runner’s growing list of workflows means you can learn from the community and get inspired for what to automate next. What Makes Runner Different? Most AI apps give you generic advice, Runner lives in your tools and takes real action When you ask Can you help me grow my business? ChatGPT “I hear you, running a business is hard. Let's look at the top 3 things you can do...” VS runner Google Calendar logoChecking your calendar and doing a full time audit Gmail logoTriaging your inbox to make sure you are focusing on the right things Salesforce logoFinding high quality leads to follow up with Done. You’ve got breathing room back on the calendar, priority emails sorted at the top of your inbox, and a shortlist of warm leads waiting in Salesforce ready for outreach. When you ask I am trying to find a place to do my next company offsite Copilot “I found a few places near you, did you want me to keep going?” VS runner Firing up my browser to find places near you I found 10 places I am looking for availability and fit Google Sheets logoI am putting them into a Google Sheet for you with phone numbers and emails All done. I’ve got 10 venues ready in a Google Sheet with availability, capacity, and contact details so you can start reaching out. When you ask Can you book a meeting for me and Sally to review marketing? Claude “Sure, when would you like the meeting to be booked?” VS runner Google Calendar logoBased on our last conversations, I assume you mean sally@leadtech.com, checking calendars Google Calendar logoI found a few times that work, booking it now Google Docs logoI'm pulling data from Google and Meta ads and attaching it as a doc to the meeting Done. Meeting is on the calendar and the ads performance doc is attached. When you ask Every time a lead fills out our contact form, I want to make sure we follow up fast Zapier “Workflow needs to be setup in advance” VS runner Salesforce logoOn it! I'll watch for new leads When one comes in, I'll enrich the lead and check if they're already in your CRM Gmail logoI'll draft a personalized follow-up based on what they asked about Slack logoAnd notify your sales channel so the team knows All set. The next lead that hits your form will be enriched, drafted, and broadcast to the team automatically. When you ask Can you help me find that file that Christina sent me last week, I think it’s in my Downloads? Slack Agent “Sorry, I don't have access to your computer.” VS runner Please authorize me to look at your Downloads Searching your computer… Found it - Q2 Marketing Plan.pdf Here you go — Q2 Marketing Plan.pdf is open and ready for you. Want me to pull anything else Christina’s shared recently? When you ask Can you look through my Desktop to find the contract that Jim sent? WhatsApp Agent “Sorry, I don't have access to your Desktop.” VS runner Please give me access to look through computer Scanning for contracts… Found it - Jim\\_Consulting\\_Agreement\\_v2.pdf Got it, Jim\\_Consulting\\_Agreement\\_v2.pdf is open and ready. Want me to summarize the changes from the previous version or flag anything to review? and of course... Your Data is Kept Safe Runner doesn’t use more than it needs to get the job done. Audited to CASA standards and SOC 2 Type 1 compliant. SOC 2 Type 1 Audit in progress GDPR In progress CASA Tier 2 In progress SOC 2 Type 2 In progress Learn more about security Everything that makes Runner different. (and better!) Runner seamlessly integrates with the tools you already rely on, streamlining your workflow and ensuring that tasks are completed efficiently and effectively. It takes care of the details so you can focus on what truly matters. 1 Concurrent Runners Run multiple tasks in parallel. Draft follow-ups while pulling analytics while updating your CRM. Receipts and timestamps for everything. 2 Local + Cloud Works across your local machine and cloud services. Manages files, apps, and workflows wherever they live. Your data stays yours. 3 Memory Across Sessions Runner remembers what matters across sessions — your contacts, your preferences, your unfinished work. Context that compounds over time. Everything that makes Runner different. (and better!) Runner seamlessly integrates with the tools you already rely on, streamlining your workflow and ensuring that tasks are completed efficiently and effectively. It takes care of the details so you can focus on what truly matters. 1 Concurrent Runners Run multiple tasks in parallel. Draft follow-ups while pulling analytics while updating your CRM. Receipts and timestamps for everything. 2 Local + Cloud Works across your local machine and cloud services. Manages files, apps, and workflows wherever they live. Your data stays yours. 3 Memory Across Sessions Runner remembers what matters across sessions — your contacts, your preferences, your unfinished work. Context that compounds over time. Help me prep for a deal close meeting with Sarah from Acme Corp Connects to the apps you already use [ HubSpot HubSpotSales](\u002Fapps\u002Fhubspot) [ Gmail GmailCoordination](\u002Fapps\u002Fgmail) [ Slack SlackMessaging](\u002Fapps\u002Fslack) [ Linear LinearPlanning](\u002Fapps\u002Flinear) [ Google Calendar Google CalendarPlanning](\u002Fapps\u002Fgoogle-calendar) [ GitHub GitHubDevelopment](\u002Fapps\u002Fgithub) [ Granola GranolaCommunication](\u002Fapps\u002Fgranola) [ Notion NotionProductivity](\u002Fapps\u002Fnotion) [ Google Drive Google DriveStorage](\u002Fapps\u002Fgoogle-drive) [ Google Docs Google DocsDocuments](\u002Fapps\u002Fgoogle-docs) [ Google Sheets Google SheetsSpreadsheets](\u002Fapps\u002Fgoogle-sheets) [ Airtable AirtableDatabases](\u002Fapps\u002Fairtable) [ Asana AsanaProjects](\u002Fapps\u002Fasana) [ Dropbox DropboxStorage](\u002Fapps\u002Fdropbox) [ Intercom IntercomSupport](\u002Fapps\u002Fintercom) [ Trello TrelloProjects](\u002Fapps\u002Ftrello) [ Mixpanel MixpanelAnalytics![](\u002Fass …",{"id":650,"height":13,"width":12,"blurhash":651},"63b6ab81-ff20-4b59-baab-54adfa880813","radial-gradient(at 0 0,#fafbfa,#00000000 50%),radial-gradient(at 33% 0,#fafafa,#00000000 50%),radial-gradient(at 67% 0,#fcfdfc,#00000000 50%),radial-gradient(at 100% 0,#fbfcfb,#00000000 50%),radial-gradient(at 0 50%,#f4f4f4,#00000000 50%),radial-gradient(at 33% 50%,#f2f1f1,#00000000 50%),radial-gradient(at 67% 50%,#f5f4f4,#00000000 50%),radial-gradient(at 100% 50%,#f4f3f3,#00000000 50%),radial-gradient(at 0 100%,#f4f3f1,#00000000 50%),radial-gradient(at 33% 100%,#f2f1f0,#00000000 50%),radial-gradient(at 67% 100%,#f1f1ef,#00000000 50%),radial-gradient(at 100% 100%,#f4f4f2,#00000000 50%)",{"id":653,"height":15,"width":14,"blurhash":92},"ab0e8ae6-04c6-440f-ac43-732767ef39ff",[655,658,661,664,667,670,673,676,679,682,685,688,691,694,697,700,703,706,709,712,715,718,721,724,727,730,733,736,739,742],{"directus_files_id":656},{"id":657},"3836f184-76e1-4e89-be0e-0474d9f4441e",{"directus_files_id":659},{"id":660},"c97f3668-e39a-4f05-bc22-b1f9c93799a3",{"directus_files_id":662},{"id":663},"60f9368c-a9be-4514-ba41-89b343d329e8",{"directus_files_id":665},{"id":666},"959f1cc3-d7a5-4ce7-a9cb-a926e9bae700",{"directus_files_id":668},{"id":669},"3e2ace9d-ff72-41c3-9fe7-f5b8b2ea464a",{"directus_files_id":671},{"id":672},"2d599b51-676a-4b28-9b41-790172180062",{"directus_files_id":674},{"id":675},"98b36e08-c57f-4f2e-85b4-f8d245fab618",{"directus_files_id":677},{"id":678},"6c302c6e-2f4c-40c2-b719-ae743da1ded2",{"directus_files_id":680},{"id":681},"71f8aacc-ba28-4a76-b916-eef237e90b60",{"directus_files_id":683},{"id":684},"38c769a5-20f1-4c85-903f-8735d777263f",{"directus_files_id":686},{"id":687},"401fa509-d661-499c-a971-7f8b0823b5e2",{"directus_files_id":689},{"id":690},"28f96813-3725-4e0c-97a1-04b34df9eac6",{"directus_files_id":692},{"id":693},"a7a2fdbc-ccf8-4b44-be0d-94f504905785",{"directus_files_id":695},{"id":696},"aca2eb0d-9d32-4790-8ac0-b45aaad0777f",{"directus_files_id":698},{"id":699},"e7d21004-3cb9-4e3e-9c34-80359e517061",{"directus_files_id":701},{"id":702},"ab02a045-b4ed-4b15-bf2d-1bb6476aa339",{"directus_files_id":704},{"id":705},"91896065-f799-43d6-8912-84c43ebb42ad",{"directus_files_id":707},{"id":708},"c8bb2f1e-db35-4cd3-b685-a26a0afd85d8",{"directus_files_id":710},{"id":711},"cc2ccf5f-ee42-485e-aa94-9473ff25573f",{"directus_files_id":713},{"id":714},"a3e4d382-89c7-46f8-b6b3-ddb474c35a18",{"directus_files_id":716},{"id":717},"26ae3ea0-6624-4d97-9fef-c39ef9caaa3c",{"directus_files_id":719},{"id":720},"ca4f257f-187a-4dfa-86dd-f2e823305333",{"directus_files_id":722},{"id":723},"53ea4819-cc18-473e-b5dd-b5c73b080007",{"directus_files_id":725},{"id":726},"9f38c208-551e-4707-b8ea-334030a40a11",{"directus_files_id":728},{"id":729},"47932bfa-4cfb-46b6-9522-e61c76c3a72a",{"directus_files_id":731},{"id":732},"79289923-2352-4103-95ff-7f8e2c73f920",{"directus_files_id":734},{"id":735},"7078c895-7e14-44bd-b83a-5acc14e38891",{"directus_files_id":737},{"id":738},"5cc3049f-2720-4b13-a712-46a3444ad66d",{"directus_files_id":740},{"id":741},"282c4d91-dafc-4a50-863a-080a846d1e22",{"directus_files_id":743},{"id":744},"47606acc-b415-4503-b895-fc015e7678a1",[746],{"languages_code":482,"description":747},"Runner presents itself as a high-utility AI chief of staff, stripping away the typical fluff of automation tools to focus on immediate task completion. 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Download for Linux Runner has a 7 day free trial. 1 2 Prep for Sales Plan Sprints Plan Travel Interview Prep Troubleshoot Tech Prep for Sales Plan Sprints Plan Travel Interview Prep Troubleshoot Tech New Session Prep for Acme call tomorrow 2h Follow up with Notion deal 5h Renewal strategy for Figma 1d Prep for Acme call tomorrow Prep me for my Acme call tomorrow HubSpot HubSpot·Fetch Acme deal record — Negotiation stage, $84k ARR Gmail Gmail·Search recent Acme threads — 4 emails this week Google Calendar Google Calendar·Tomorrow 2 PM — 'Acme: Contract Review' with Eunice, Oleg, Derek Google Drive Google Drive·Found 'Acme Proposal v3.pdf' shared by Sarah, last edited Mar 14 Briefing for tomorrow's Acme call at 2 PM: Room - Eunice (VP Ops) — your champion - Oleg (CFO) — needs predictable costs - Derek (IT) — wants SSO + audit logs Talking points 1\\. SOC 2 Type II lands April 15 — unblocks Derek 2\\. Offer a 2-m What would you like to work on? My Project You talk, Runner runs 01 Runner doing the work Runner does the Work Most AI tools feed you generic answers or ask you to take actions yourself. Runner uses its intelligence to pull the information it needs and do the work. 02 Runner connecting to many apps One App, All Your Tools Runner connects to 50+ of the most-used apps and can pull and share context between them. No more switching tabs, copying data, or gluing apps together yourself. 03 Runner remembering context Runner Remembers Built in personal and team memory means Runner gets better each time you use it. It remembers what tools you use, how you use them, how you speak, and what matters to you. 04 Runner browsing the web Browser Automation Runner has a built in Chrome browser that searches the web to find what it needs. It opens separately so it won't interrupt your work. Runner browses and unblocks itself in the background while you keep going. 05 Runner asking for permission You are in control Runner asks your permission before it takes an action for you. As you trust Runner more, you can turn these safeguards off and go really fast. 06 Runner workflow library Workflow Library Runner’s growing list of workflows means you can learn from the community and get inspired for what to automate next. What Makes Runner Different? Most AI apps give you generic advice, Runner lives in your tools and takes real action When you ask Can you help me grow my business? ChatGPT “I hear you, running a business is hard. Let's look at the top 3 things you can do...” VS runner Google Calendar logoChecking your calendar and doing a full time audit Gmail logoTriaging your inbox to make sure you are focusing on the right things Salesforce logoFinding high quality leads to follow up with Done. You’ve got breathing room back on the calendar, priority emails sorted at the top of your inbox, and a shortlist of warm leads waiting in Salesforce ready for outreach. When you ask I am trying to find a place to do my next company offsite Copilot “I found a few places near you, did you want me to keep going?” VS runner Firing up my browser to find places near you I found 10 places I am looking for availability and fit Google Sheets logoI am putting them into a Google Sheet for you with phone numbers and emails All done. I’ve got 10 venues ready in a Google Sheet with availability, capacity, and contact details so you can start reaching out. When you ask Can you book a meeting for me and Sally to review marketing? Claude “Sure, when would you like the meeting to be booked?” VS runner Google Calendar logoBased on our last conversations, I assume you mean sally@leadtech.com, checking calendars Google Calendar logoI found a few times that work, booking it now Google Docs logoI'm pulling data from Google and Meta ads and attaching it as a doc to the meeting Done. Meeting is on the calendar and the ads performance doc is attached. When you ask Every time a lead fills out our contact form, I want to make sure we follow up fast Zapier “Workflow needs to be setup in advance” VS runner Salesforce logoOn it! I'll watch for new leads When one comes in, I'll enrich the lead and check if they're already in your CRM Gmail logoI'll draft a personalized follow-up based on what they asked about Slack logoAnd notify your sales channel so the team knows All set. The next lead that hits your form will be enriched, drafted, and broadcast to the team automatically. When you ask Can you help me find that file that Christina sent me last week, I think it’s in my Downloads? Slack Agent “Sorry, I don't have access to your computer.” VS runner Please authorize me to look at your Downloads Searching your computer… Found it - Q2 Marketing Plan.pdf Here you go — Q2 Marketing Plan.pdf is open and ready for you. Want me to pull anything else Christina’s shared recently? When you ask Can you look through my Desktop to find the contract that Jim sent? WhatsApp Agent “Sorry, I don't have access to your Desktop.” VS runner Please give me access to look through computer Scanning for contracts… Found it - Jim\\_Consulting\\_Agreement\\_v2.pdf Got it, Jim\\_Consulting\\_Agreement\\_v2.pdf is open and ready. Want me to summarize the changes from the previous version or flag anything to review? and of course... Your Data is Kept Safe Runner doesn’t use more than it needs to get the job done. Audited to CASA standards and SOC 2 Type 1 compliant. SOC 2 Type 1 Audit in progress GDPR In progress CASA Tier 2 In progress SOC 2 Type 2 In progress Learn more about security Everything that makes Runner different. (and better!) Runner seamlessly integrates with the tools you already rely on, streamlining your workflow and ensuring that tasks are completed efficiently and effectively. It takes care of the details so you can focus on what truly matters. 1 Concurrent Runners Run multiple tasks in parallel. Draft follow-ups while pulling analytics while updating your CRM. Receipts and timestamps for everything. 2 Local + Cloud Works across your local machine and cloud services. Manages files, apps, and workflows wherever they live. Your data stays yours. 3 Memory Across Sessions Runner remembers what matters across sessions — your contacts, your preferences, your unfinished work. Context that compounds over time. Everything that makes Runner different. (and better!) Runner seamlessly integrates with the tools you already rely on, streamlining your workflow and ensuring that tasks are completed efficiently and effectively. It takes care of the details so you can focus on what truly matters. 1 Concurrent Runners Run multiple tasks in parallel. Draft follow-ups while pulling analytics while updating your CRM. Receipts and timestamps for everything. 2 Local + Cloud Works across your local machine and cloud services. Manages files, apps, and workflows wherever they live. Your data stays yours. 3 Memory Across Sessions Runner remembers what matters across sessions — your contacts, your preferences, your unfinished work. Context that compounds over time. Help me prep for a deal close meeting with Sarah from Acme Corp Connects to the apps you already use [ HubSpot HubSpotSales](\u002Fapps\u002Fhubspot) [ Gmail GmailCoordination](\u002Fapps\u002Fgmail) [ Slack SlackMessaging](\u002Fapps\u002Fslack) [ Linear LinearPlanning](\u002Fapps\u002Flinear) [ Google Calendar Google CalendarPlanning](\u002Fapps\u002Fgoogle-calendar) [ GitHub GitHubDevelopment](\u002Fapps\u002Fgithub) [ Granola GranolaCommunication](\u002Fapps\u002Fgranola) [ Notion NotionProductivity](\u002Fapps\u002Fnotion) [ Google Drive Google DriveStorage](\u002Fapps\u002Fgoogle-drive) [ Google Docs Google DocsDocuments](\u002Fapps\u002Fgoogle-docs) [ Google Sheets Google SheetsSpreadsheets](\u002Fapps\u002Fgoogle-sheets) [ Airtable AirtableDatabases](\u002Fapps\u002Fairtable) [ Asana AsanaProjects](\u002Fapps\u002Fasana) [ Dropbox DropboxStorage](\u002Fapps\u002Fdropbox) [ Intercom IntercomSupport](\u002Fapps\u002Fintercom) [ Trello TrelloProjects](\u002Fapps\u002Ftrello) [ Mixpanel MixpanelAnalytics![](\u002Fass …. 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