Agentic Index
ChatGPT dots vs Pine AI (2026)
Both act on a computer of their own and keep working after you close the app. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
A ChatGPT dot is OpenAI's always on agent. It lives in the cloud with its own browser, owns an ongoing responsibility, decides when to wake up and follow through, reaches you in ChatGPT, Slack, Teams or by phone call, and hands work to ChatGPT Work and Codex, with an automatic review checking actions against your rules. Pine aims at the businesses you deal with. It places calls, waits on hold, negotiates bills, sends follow up email and works forms, runs batch jobs of calls in parallel, and offers small businesses call answering and lead follow up. Choose a dot when you already live in ChatGPT and want an agent that owns a running piece of work, and Pine when the job means calling companies for you.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. ChatGPT dots and Pine AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 974 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose ChatGPT dots if
- You are on ChatGPT Pro, Business Premium or Enterprise, where dots are included.
- The agent should keep a proposal, study or launch current as things change, without a fixed schedule.
- You want to reach it in Slack or Microsoft Teams as well as ChatGPT.
- It should delegate coding to Codex and file work to ChatGPT Work and track those tasks.
- Workspace admins need custom roles and SCIM to decide who gets an agent and what it may use.
- You want rules per action, from acting without asking to always handing the step back to you.
Choose Pine AI if
- The work is outbound calls to customer service, with holding and negotiation.
- You need many calls or browser tasks run at once with a result for each.
- A small business needs incoming calls answered and missed callers texted back.
- You want a plan of your own, from a free tier to Team at $291.60 a month billed annually, instead of a ChatGPT seat.
| Feature | C ChatGPT dots |
P Pine AI |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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ChatGPT dotsIntegrations & Tool Calling A dot uses the ChatGPT plugins a user has installed and enabled, with their connected accounts and existing permissions, for example Gmail to find email, Google Drive to work with documents and GitHub to investigate code and prepare changes. Each plugin must be connected and permitted for the action requested, and admins set app access and action restrictions in plugin controls. When a website needs a login, the dot sends a private sign in request and then works in that session. Sourcelearn.chatgpt.com/docs/dotsread 2026-10-12 |
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Pine AIIntegrations & Tool Calling Instead of connectors, Pine acts through its own phone calls, email and a computer of its own, and Pine Work needs no connector setup, integration map or handoff from tool to tool. It also dials into Zoom or Meet, follows the discussion, captures decisions and returns minutes and actions. Pine names no connector catalog or custom tool support. SourcePine AI, 19pine.ai/work and pine.im/features/phoneread 2026-10-06 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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ChatGPT dotsWorkflow Orchestration A dot runs background agents to work on several things in parallel while the user keeps talking to it, starts new cloud threads, and creates ChatGPT Work or Codex tasks on a connected computer or in a Codex cloud environment. It checks the results of tasks it created and sends them follow up instructions, and the Activity view lists each delegated task with its progress, results and requests for input. Sourcelearn.chatgpt.com/docs/dotsread 2026-10-12 |
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Pine AIWorkflow Orchestration One agent carries a task through calls, emails, follow ups and computer steps, and tasks can be saved and reused. Batch jobs take a list and a goal and coordinate phone calls, browser tasks and email requests in parallel, up to more than 1,000 concurrent voice calls, keeping context for retries, recovering from failures automatically and flagging the exceptions that need the user. There is no workflow model with branching or deterministic steps for the customer to design. SourcePine AI, pine.im/features/batch-jobs and 19pine.ai/workread 2026-10-06 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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ChatGPT dotsTriggers & Channel Coverage Between conversations a dot decides on its own when to pause and wake up to continue work, and saved schedules cover work that repeats at fixed times. Where a connected service supports event monitoring it responds to specific events, such as new bug reports in a Slack channel, once it is told which channels to watch, what to look for and when to notify, since adding it to a channel alone sets up no monitoring. Users reach the same dot in ChatGPT on mobile, desktop and web, in Slack by direct message or mention, in Microsoft Teams, and by phone call. Sourcelearn.chatgpt.com/docs/dots/tasks-and-memoryread 2026-10-12 |
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Pine AITriggers & Channel Coverage Tasks in Pine Work can be saved, scheduled and reused, with recurring scheduled tasks shown such as a weekly Monday 9:00 industry brief. Inbound calls start work too, since Pine Phone answers, screens intent, routes the caller and escalates only what matters, and requests also come from the web, mobile and desktop apps and from MCP clients. SourcePine AI, 19pine.ai/work and pine.im/features/phoneread 2026-10-06 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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ChatGPT dotsKnowledge Grounding & RAG A dot works from the source material a user shares, the files on its cloud computer and a connected computer, and connected apps such as Google Drive, and it researches that connected information read only to suggest next steps. The context for any interaction is a selection of this material. No indexed knowledge base that a team maintains for its dot is part of the product. Sourcelearn.chatgpt.com/docs/dots/tasks-and-memoryread 2026-10-12 |
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Pine AIKnowledge Grounding & RAG Provider guides route a request to the right job, such as a cancellation or a refund with a particular company. There is no retrieval over the customer's own documents or knowledge base, and no way to load a company's own files, policies or records for the agent to draw on. SourcePine AI, 19pine.ai/llms.txt and /workread 2026-10-06 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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ChatGPT dotsMemory & State Persistence Each dot starts with relevant ChatGPT memory and keeps its own notes on preferences, decisions and ongoing work, separate from ChatGPT's saved memory, which it updates as priorities change and carries across ChatGPT, Slack, Teams and calls. Switching channels never resets those notes, and deleting a dot covers its conversations, memories and scheduled tasks, with the details shown at confirmation. A user gets no retention period for the notes, and changing a ChatGPT memory setting does not necessarily change notes already made. Sourcelearn.chatgpt.com/docs/dots/tasks-and-memoryread 2026-10-12 |
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Pine AIMemory & State Persistence Pine Work turns a user's working context, routines and standards into a workflow Pine can run again and again, and conversation history is retained. On the computer, Safe Session Memory keeps a login so Pine can reuse the session for monthly statements, weekly exports and routine account chores, and batch jobs keep context for retries. Pine does not say what this memory covers, how long it lasts or how a user reviews and deletes it. SourcePine AI, 19pine.ai/work, pine.im/features/computer and /features/batch-jobsread 2026-10-06 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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ChatGPT dotsHuman Oversight & Guardrails Before an action affects the user's accounts or shares information, an automatic review checks it against the user's instructions, permissions, custom rules and built in safety requirements, then lets it proceed, asks for approval or hands the step to the user. Custom rules come in four kinds, take action without asking, take action only when told, ask before taking action, and hand off to the user, so a team can require a check before messages go to customers or keep file deletions in human hands. Workspace admins decide who may add rules, a dot checks privately before sharing anything from a private conversation in Slack, and Pause stops its current main task. Sourcelearn.chatgpt.com/docs/dots/controlsread 2026-10-12 |
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Pine AIHuman Oversight & Guardrails Before actions with high impact, Pine shows the user what it plans to send, and the user can approve, edit, pause or take over at any time. On the computer it shows the plan before sensitive actions, and one click hands control back for a password, a 2FA prompt, a purchase or a final submission. The user decides what Pine may do, users may need to approve actions or information a task needs, and calls use sensitive data only as needed, temporarily and with approval. In Pine Work the user can watch the agent's computer and take control at any time. There is no separate setting for which actions need approval, since the approval moments are built into how Pine works. SourcePine AI, pine.im/features/phone, /features/computer and 19pine.ai/ai-information-pageread 2026-10-06 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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ChatGPT dotsSecurity, Identity & Governance Workspace owners grant dots through workspace defaults and custom roles assigned to groups, with group membership synced by SCIM, and separately allow Slack participation, custom rules, password manager use and cloud browser, network and computer use. Business and Enterprise data is encrypted in transit and at rest and is not used to train OpenAI models by default. OpenAI keeps its attestations in a separate trust portal. Sourcelearn.chatgpt.com/docs/enterprise/dots-admin-guideread 2026-10-12 |
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Pine AISecurity, Identity & Governance SOC 2 work is in progress, and Pine invites contact about report availability, so no certification is held yet. Data is encrypted with TLS 1.3 in transit and AES-256 at rest. Neither Pine staff nor its agents can see plaintext passwords, because models work with masked placeholders and the real credentials are supplied only when a task needs them, and Pine does not store or see full payment card numbers or keep call recordings. Data is deleted within 30 days of a request, and neither Pine nor its AI providers train models on customer data. Pine names no roles, SSO or other access model for the customer's own organization. SourcePine AI, 19pine.ai/security and /trust-center; 19pine.ai/trust-centerread 2026-10-06 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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ChatGPT dotsObservability & Auditability In the desktop app, a dot's Activity view opens each task, including background work and the Work and Codex tasks it delegated, to show progress, files, results and any pending decision, sign in or approval, and the Scheduled view lists recurring work that can be disabled or deleted there. Workspace audit records cover some capabilities, depending on data category, storage location and product configuration. A per step trace of the dot's own actions for an admin to export is not part of the product. Sourcelearn.chatgpt.com/docs/dots/controlsread 2026-10-12 |
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Pine AIObservability & Auditability The work stays visible in Pine Work, where the user sees the agent's computer and task progress, and conversation history is retained. Batch jobs bring together summaries, each task's status and supporting records, offer structured exports, and show retry progress and which jobs need the user's input. There is no trace or audit log of the agent's own steps. SourcePine AI, 19pine.ai/work and pine.im/features/batch-jobsread 2026-10-06 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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ChatGPT dotsDeployment & Data Residency A dot's cloud computer runs on shared, OpenAI managed infrastructure in VM backed sandboxes tied to the signed in user, and it can also work with one personal computer the user connects. No region choice for the dot's computer and no private deployment come with the product. Sourcelearn.chatgpt.com/docs/enterprise/chatgpt-work-cloud-securityread 2026-10-12 |
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Pine AIDeployment & Data Residency Pine runs as a hosted service reached through web, mobile and desktop apps for macOS and Windows. Production hosting is on Google Cloud in Iowa (us-central1), and transactional email runs on AWS in the US. There is no region choice, self hosting or private deployment. SourcePine AI, 19pine.ai/trust-center/subprocessors and /workread 2026-10-06 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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ChatGPT dotsPrebuilt Agents, Templates & Packs Each user has one dot that takes on whatever responsibility it is given, from keeping a sales proposal current to drafting show notes from interviews or following up on software feedback. Those examples come as guidance on how to brief it, and there is no catalog of ready made dots or task templates to adopt. Sourcelearn.chatgpt.com/docs/dotsread 2026-10-12 |
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Pine AIPrebuilt Agents, Templates & Packs The product's named parts are Pine Phone, a voice assistant, Pine Computer, Pine Email, Pine Finance for tracking spending, batch jobs and Pine MCP. Pine also speaks to owner operated businesses such as cleaning, HVAC and remodeling companies, auto shops, pool companies and online shops, around converting demand, removing blockers and growing repeat revenue. Consumer task categories (lower bills, cancel subscriptions, complaints, refunds) and provider specific guides route a request to the right job. All of these run on the same agent, with no separate agents or templates to adopt. Plans run from Plus at $99.90 a month billed annually through Max and Team to a custom Enterprise plan, with batch calling of up to 5, 10 or 20 calls by plan. SourcePine AI, pine.im, 19pine.ai/llms.txt and /pricingread 2026-10-06 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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ChatGPT dotsModel Flexibility & Routing Dots run on GPT-6 Astra, OpenAI's own model. The user has no choice of another maker's model for a dot. Sourcelearn.chatgpt.com/docs/dotsread 2026-10-12 |
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Pine AIModel Flexibility & Routing Google's Gemini API handles the language and audio processing behind the agent, and Pine names no other model provider. Customers get no model choice. SourcePine AI, 19pine.ai/trust-center/subprocessorsread 2026-10-06 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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ChatGPT dotsAPIs, SDKs & MCP Extensibility Dots are reached through ChatGPT, Slack, Microsoft Teams and calls, and they reach out through plugins and a connected computer. Outside software has no API or MCP server for creating a dot, sending it work or reading its results. Sourcelearn.chatgpt.com/docs/dotsread 2026-10-12 |
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Pine AIAPIs, SDKs & MCP Extensibility The MCP server at https://mcp.pine.im/mcp is Pine's own. It signs in by OAuth (or an access token), and the tools in its repository, linked from pine.im, create, list, get and delete Pine sessions and tasks for calls, emails and computer work. Install guides cover Claude Code and Codex as plugins, Cursor from a clone of the repository, and other clients that support remote MCP with browser sign in. SourcePine AI, pine.im/features/mcpread 2026-10-06 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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ChatGPT dotsTesting, Debugging & Optimization Users start a dot on one responsibility, review its first result and correct missing details before widening the job, and because a dot can make mistakes its important results come back with their sources for checking. That checking is manual, with no test cases, quality checks or comparison of a dot's output across changes. Sourcelearn.chatgpt.com/docs/dotsread 2026-10-12 |
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Pine AITesting, Debugging & Optimization By its own figures, Pine has a 93% success rate in negotiation, saves 270 minutes on average and has saved more than $3 million, and it promises twice the leads for local businesses. There is no evaluation harness, test case set or quality gate for a customer to run. SourcePine AI, 19pine.ai/pricing and pine.imread 2026-10-06 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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ChatGPT dotsBrowser & Computer Use Each dot has its own computer and browser in the cloud for research, files and running software, with browser sessions of its own and optional saved logins. The user opens the dot's computer and selects Take over to inspect a page or do a step, then Return control. A connected personal computer lets the dot work with its local files and apps while the ChatGPT app is open, and admins switch cloud browser use and cloud computer use on per role. Sourcelearn.chatgpt.com/docs/dotsread 2026-10-12 |
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Pine AIBrowser & Computer Use Pine Work gives the agent a computer of its own that it operates to complete forms, research and move work across websites and software while the user watches, and consumer Pine uses a computer to log into service sites and submit forms. Pine Computer is a private cloud browser that navigates websites, fills forms, downloads files and finishes online chores, and batch jobs run more than 2,000 cloud browsers in parallel. SourcePine AI, 19pine.ai/work, pine.im/features/computer and /features/batch-jobsread 2026-10-06 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | C ChatGPT dots |
P Pine AI |
|---|---|---|
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Entry price Lowest public entry point |
Included with ChatGPT Pro, Business Premium and Enterprise | Free tier, Pro from $30 a month |
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Pricing confidence How public the numbers are |
Public, partial | Public, exact |
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Billing Primary billing axis |
included in ChatGPT seat plans | credits |
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Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
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Free tier / trial Try before you buy |
No free tier
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Free tier
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Buying motion Self-serve vs sales call |
Mixed | Mixed |
Dots are an OpenAI product introduced 29 September 2026, run on GPT-6 Astra and rolling out gradually. Pro access excludes the European Economic Area, the United Kingdom and Switzerland. Pine runs on Google's Gemini API.
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