Epismo OS

Epismo OS is a collaboration OS for people and AI agents. It keeps the purpose and constraints of real work, so the next person or AI can continue without starting over. Epismo is built for people who work with AI tools such as Claude, ChatGPT, and Cursor and who want to move between those tools — or hand work to a teammate — without a re-brief. The product's central promise is "Switch AI. Keep the work." Work is kept in a Case that holds the result, the decisions behind it, reviews, and the next step, so work in progress survives a change of model, tool, or person. The problem Epismo addresses is continuity. When a piece of work is done inside a single chat with a single AI tool, everything that made it meaningful — why it was started, what the constraints were, which decisions were made, which claims were still assumptions — is locked inside that conversation. Moving to another AI tool, coming back the next day, or passing the work to a teammate usually means starting over: re-explaining the brief, redoing the research, and rebuilding context that already existed. Epismo keeps the purpose and constraints of real work so the next person or AI can continue without starting over, in the tools you already use. Everything begins with saving. Epismo keeps the purpose, the constraints, and the current decisions of a piece of work, along with the result, the decisions behind it, reviews, and the next step. Once that is saved, continuing becomes the default rather than restarting. You do not need a new chat — you hand the work in progress to the next person or AI. You can hand the same work to Claude, ChatGPT, or Cursor without redoing the research. You can open the same work the next morning and find that what it is for is still there. Or a teammate can open it and see what happened, and where to pick up. The example shown in the product is an "Acme renewal" Case marked In progress: a research step in Claude Code left the evidence and open questions, and an account executive continuing in ChatGPT picks up from there with no restart. Auto review is Epismo's quality layer. Instead of manually re-checking a saved result, you leave the work with Epismo, which reads it and writes what still needs checking. Those notes become the starting point for the next turn in Cursor, Claude, or ChatGPT, so your AI fixes what Epismo flagged. In the example, the review states that usage isn't sourced and that the churn claim is still an assumption; the following Cursor turn adds the usage and the filing. Crucially, auto review gives a saved result a fresh review, flags issues, and leaves the original unchanged — so you get a second pass without overwriting the work you already have. When the same kind of work comes up again, Epismo turns what worked into a playbook. A playbook captures what counts as evidence and what a person should check, so the next piece of work starts from there. The recommended playbook shown in the product, "Enterprise renewal review", is built from four named steps: scope the renewal risk, pull filings, tickets, and usage into one set, separate verified facts from assumptions, and hand the call to the account owner. Each step can name the Skill, MCP, CLI, Plugin, or Approval it should use — for example a "Renewal risk rubric" Skill, MCP connectors for filings and earnings calls and for CRM plus ticket history, a "Claim-to-source audit" Plugin, an "Exec brief builder" CLI, and an Approval step. This means the pattern of work becomes reusable and explicit, rather than something each person has to remember. Epismo's methodology is deliberately work-first: work first, the pattern later. You do not start by writing a pattern. The flow is four steps. Save: keep purpose, constraints, and current decisions. Handoff: the next person or AI picks up from there. Discover: see what worked, and keep that as a pattern. Improve: lessons from real work feed the next run. Only after real work has been saved, handed off, and reviewed does Epismo surface the reusable pattern, which reduces the risk of designing an abstract process that does not match how the work actually gets done. The outcome for users is continuity. Work is no longer trapped in a single conversation with a single tool: switching from one AI to another, returning the next day, or involving a teammate all happen without a re-brief. Because Epismo keeps the purpose and constraints, the next person or AI continues rather than restarts. Because auto review reads saved results and writes what still needs checking, quality checks become part of the workflow instead of a separate manual pass, and the original result stays unchanged. Because patterns become playbooks, teams stop starting from zero on repeatable work and can carry lessons from real work into the next run. The product is shown around an enterprise renewal review, a scenario where evidence, assumptions, and human sign-off all matter: research is gathered with Claude Code, the renewal brief is drafted in Cursor, Epismo flags unsourced usage and an unverified churn claim, and the account owner receives the call through an Approval step. More broadly, Epismo signals the many kinds of work it is meant to hold through its categories, including deck, email, operations, approval, campaign, customers, meeting, coding, report, content, launch, hiring, bug, support, experiment, research, legal, and accounting. Any of these can be saved as a Case, continued by another AI or teammate, reviewed automatically, and — where it repeats — turned into a playbook whose steps name the Skills, MCP, CLI, Plugin, or Approval to use. Epismo is for teams and individuals who already work with AI assistants and want that work to survive a change of tool, day, or person. The product states that it works with the AI you already use, and names Claude, ChatGPT, Cursor, and Claude Code in its examples; playbook steps can reference Skills, MCP connectors, CLI tools, Plugins, and Approvals. Epismo is offered as a web product with a free start — the site prompts you to "Start free" with no credit card required — and a separate "Talk to sales" path for buyers who want to speak with the team. Epismo OS is the collaboration OS for people and AI agents: it keeps the purpose, constraints, and decisions of real work in a Case, hands that work forward to the next AI or teammate, reviews saved results without changing them, and turns what worked into reusable playbooks. The primary value proposition is continuity — switch AI, keep the work, and don't start from zero next time.