Plot keeps your product knowledge accurate, governed, and AI-ready — so every person who asks gets the same quality of answer, whether they're your biggest customer or a developer at midnight.
Free to try · Bring your own API key · No procurement needed
Documentation is scattered across Confluence, Notion, SharePoint, and email threads. Nobody knows what's current. Nobody knows who's responsible. Nobody finds out until something goes wrong in front of a customer.
Every feature widens the gap between what your product does and what your knowledge base says it does. AI coding tools are accelerating shipping speed. Documentation falls further behind with every merge.
A Firebase URL that changed in 2022, described confidently in 2026. Two standups lost. A developer who did everything right and still couldn't get a straight answer. This is the cost of stale knowledge at scale.
The quality of an AI answer has never depended solely on the model. It has always depended on the knowledge behind it. And that knowledge has not, historically, been equally available.
Organisations with the resources to negotiate enterprise agreements have long enjoyed something others have not: dedicated expertise. A specialist who knows the product deeply, keeps pace with every change, and ensures that every question receives an accurate, current response. For everyone outside that arrangement — the independent developer, the growing team, the founder at midnight — the available knowledge has been whatever happened to survive in a documentation system that nobody was specifically responsible for maintaining.
Plot was built to close that gap. Not by replacing the expertise, but by governing the knowledge that should have been governed all along. When every section of a product's documentation is owned, reviewed, and kept current — the quality of the answer no longer depends on who is asking.
Enterprise customer calls their Account Manager and gets the right answer in minutes. Solo developer queries the AI support bot. Gets a confidently wrong answer based on documentation from 18 months ago. Loses hours. Loses trust.
Every section is governed, approved, and current. The moment code changes, Plot flags the documentation. The AI answers from knowledge that was reviewed and meant to be there. Everyone gets the right answer.
Import existing docs or create from scratch. Every document is broken into named sections — each with an owner, an expiry date, and a clear purpose. Import from Confluence in under an hour.
Every section change goes through an approval workflow. Sections expire on schedule. Owners get notified. The audit trail records every decision — who changed what, when, and why.
The moment a section is approved it propagates to your AI pipeline within 60 seconds. GitHub changes trigger review prompts in the VSCode extension before they become stale knowledge.
Plot manages your documentation lifecycle. When content changes, a signed webhook delivers the updated section text to your own vector database. You control the pipeline end to end.
Bring your own API key. Your inference costs stay transparent and in your control.
Best for teams with existing AI infrastructure.Embedding, indexing, semantic search, and AI response generation — Plot manages the complete pipeline. You get a query interface and an embeddable widget, ready to deploy.
No infrastructure to manage. No vector database to maintain. Just accurate answers.
Best for teams without a dedicated AI engineering function.There's a moment most builders know well — you're deep in a problem, the clock is running, and you're trusting the tools around you to help you move. I hit that moment on a GCP project and spent two days following confident, detailed, completely wrong guidance from every AI interface I had access to. Not wrong in an obvious way. Wrong in the way that only becomes clear after you've exhausted every path the AI suggested. The knowledge those tools were drawing from had simply aged out — and nobody had marked it as such. I built Plot because that gap between what AI says and what is actually true is not a model problem. It is a knowledge problem. And it is one we can solve.
— Founder, Plinth · Built to solve a problem I lived.
Plot is built and maintained by two developers. The community tier exists because server costs are real, and because we believe this tool should remain accessible to every founder who needs it — not only those with procurement budgets. Every member makes it possible for the next one to find it.
Set it up now. When the investor meeting comes, when the cofounder needs context, when the auditor asks why — Plot will already have your story.