--- title: Atisbo — one list of what to do next description: Atisbo turns what a company says — support tickets, sales calls, meetings and its own strategy — into one ordered list of what to do next: evidence is grouped when it describes the same problem, ranked by how much of it there is and how urgent it sounds, and stays attached to the work. The team and its coding agents work from the same list. canonical: https://www.atisbo.dev/ last-updated: 2026-09-11 --- # Atisbo — one list of what to do next > Atisbo turns what a company says — support tickets, sales calls, meetings and its own strategy — into one ordered list of what to do next: evidence is grouped when it describes the same problem, ranked by how much of it there is and how urgent it sounds, and stays attached to the work. The team and its coding agents work from the same list. ## The problem Product teams are hired to decide what to build, and spend much of the week collecting, organising and reconnecting scattered feedback instead. Third-party research on where that week goes: 12h a week lost to coordination (Quire), 11.3h a week in meetings (Noota), 12–15h a week analysing feedback, per team (BuildBetter). ## What it does 1. Connects read-only to the tools a team already uses — around a thousand apps through Composio, plus email forwarding, webhooks and file upload. Atisbo never writes into those tools. 2. Groups incoming feedback describing the same underlying problem into a single item. Nothing merges until a language model confirms two pieces of evidence are the same root problem. 3. Ranks problems by evidence volume, recency, urgency, and strategic fit. A product manager's explicit order always wins over the computed one. 4. Keeps the evidence and reasoning attached to each decision, so the team and their coding agents read the same record through MCP. ## Who it is for Product teams that already get real work out of Claude Code, Codex or Cursor, that are measured on whether what they shipped changed anything, and that treat the quality of a decision as the work. A poor fit for teams measured on shipping volume, where nobody owns product decisions, or that do not work with agents at all. ## Pricing - Free: 100 useful signals processed every month. Editors, readers and agents are unlimited. No card. - Atisbo: $50 a month, including 500 useful signals processed. Editors, readers and agents are unlimited. Each additional signal costs $0.04; no block rounding. - Core: planned self-hosted path. Public release pending; infrastructure and model usage are paid by the operator. - Enterprise: custom pricing for higher signal volume, security, legal or procurement requirements. ## Questions people ask ### Can an engineering agent see why a solution was chosen? Yes. Through MCP, an agent can read a solution in Atisbo, follow its recorded decisions and constraints, and inspect the linked evidence before writing code. Your local agent performs the implementation; Atisbo supplies the product context behind it. ### Can teammates get context without asking the product manager? For work documented in Atisbo, teammates can ask their agent through MCP what is known about a problem, what has already been investigated, which decisions were made and whether a solution exists. That gives them access to the recorded context without requiring the product manager to explain it manually each time. Missing information still needs investigation. ### Does Atisbo inspect my code or control my other tools? Your agent does that, using the codebase and tools you give it access to. Atisbo supplies product evidence, related problems and decision history through MCP, and lets the agent record its findings back in the workspace. Your agent can move between Atisbo, local code, database MCPs and browser tools as the investigation requires. Atisbo does not automatically gain access to those other systems. ### Do I need to connect all my company data to try it? No. Explore the public company previews without signing up. To try your own product, begin with one question and a small, non-sensitive set of relevant evidence. Add more context when the investigation needs it, not as a prerequisite to understanding the product. ### What exactly will I pay on Cloud? Cloud has a $50 monthly base including 500 new useful signals, then $0.04 per additional signal, without block rounding. Reading existing context and recording decisions do not add a signal charge. External agent subscriptions or model usage are separate. Free is a separate tier with 100 signals per month. ### What can it actually connect to? Around a thousand apps. You connect them by asking your agent — it searches the catalogue, handles the authorisation, and picks up either the events an app pushes or a read-only action Atisbo runs on a schedule. So Jira, Linear, Zendesk, Intercom, HubSpot and most of what you already run are a request away, not a roadmap item. Forwarding an email or dropping in a CSV needs no setup at all. All of it read-only, enforced in code: Atisbo can never write into your tools. ### Does my team have to move into a new tool? No, and it would defeat the point if they did. Editors, design, engineering, stakeholders and agents all work from the same evidence and decision record. They are unlimited; sharing the context more widely never raises the price. Atisbo charges only for the useful customer evidence it processes. ### Do I need Claude Code, Codex or another agent? An MCP-compatible agent is the main working surface for deep investigations. Connect it to Atisbo to explore customer evidence, compare options against strategy and record the decisions you approve. The workspace lets you and your team inspect that record. Your external agent subscription or model usage is separate. ### Why not just build this myself with an agent? You can, and a folder of Markdown files may be enough for one person. Atisbo is useful when keeping evidence linked to decisions, sharing context across people and agents, and maintaining that structure becomes recurring work. Start with one real question and compare it with your current setup. ### How is this different from Productboard or Dovetail? Those are feature suites, and not being one is a decision, not a stage we have not reached yet. A thousand features is noise: some nobody has time to use, others are structures from before agents could do the work — sprints, estimates, story points, sub-tasks, standups, workload views, boards to keep tidy. Each is another thing you maintain, and maintaining tools is not your job. So Atisbo holds only what lets you decide well: what is actually happening with your product, whether it fits the strategy you already set, how urgent it is from evidence rather than opinion, and what changed once it shipped. That is not how far we got — it is where we decided to stop. Built by a product builder for product builders: nothing to read up on, nothing trying to look clever. ### Is my data used to train models? No. We don’t sell, rent or trade your data, we don’t use it to train or improve any model of our own, and the AI services that process it are contractually barred from training on it. If you need that in your own paperwork — a named region, your own model key, specific terms — we configure it and put what we commit to in writing. Every provider we use, what it receives and the terms it operates under is listed in Annex III of our DPA, sent on request. Separately and regardless of provider: each workspace is isolated at the database level, not just in the interface. ### Is the core open source? Can I self-host it? The public core release is pending. The planned open-core path lets you inspect and self-host the foundation, while paying for your own infrastructure, models and maintenance. Atisbo Cloud is the managed option with a monthly base and signal-processing usage. The agent skills are already public; their availability does not mean the core repository is public yet. ### Does it replace Jira or Linear? Not on day one — keep them, and let Atisbo feed them. Your agent holds Atisbo and your tracker at the same time, so "open the Linear issue for this decision" is one instruction; we never write into your tools ourselves, and we do not need to. The difference worth understanding is the unit: they manage tasks, fragments a person split up and then has to keep coordinating. Here the unit is a whole problem, carrying the evidence that produced it and the decision behind it, which your engineers and their agents pull in through MCP — the context arrives with the work instead of being reconstructed in a kickoff. No sprints, estimates or sub-tasks, on purpose. And the further a team moves toward complete problems instead of fragments, the more this becomes where the work itself lives, and the whole cycle stops leaving one system. ### Why not hire someone to do this instead? Atisbo is a tool for product people, not a replacement for product judgment. It helps you investigate evidence and keep a shared decision record. Customer conversations, strategic choices and approval remain human responsibilities. ### Is this sensible if I am the only product builder? Start free with 100 useful signals processed every month. Atisbo is $50 a month for 500. Editors, readers and agents are unlimited, so sharing context more widely never raises the price. If Free is enough, keep it. ### How do I know if this is for my team? It is, if you recognise these: priorities change and it turns into friction instead of a decision; alignment is where most of your effort goes and it still slips; someone on the team is running on empty, or already burned out; you care whether what you shipped actually changed anything; strategy is a filter you apply, not a slide from last quarter; and your team already gets real work out of Claude Code, Cursor or Codex. It is not, if shipping more is the goal and impact gets measured later or never; if nobody really owns product decisions and they happen in passing; if strategy is a slide from last quarter nobody reopens; or if nobody works with an agent and you would rather keep it that way. Size matters far less than whether you recognise yourself in the first list. ## Links - [About](https://www.atisbo.dev/about) - [Contact](https://www.atisbo.dev/contact) - [Full context for language models](https://app.atisbo.dev/llms-full.txt) — the same material at length, on the product origin - [Documentation](https://app.atisbo.dev/docs) - [Trust and security](https://app.atisbo.dev/security) - MCP endpoint: `https://app.atisbo.dev/api/mcp` — JSON-RPC, requires an API key from a workspace Note for crawlers: everything under `app.atisbo.dev/dashboard/` requires an account and will not render for you.