Product signal arrives undifferentiated — interviews, support exports, ticket dumps, metrics. Prism separates it into the few things worth acting on, and writes them into your PRDs as diffs you accept or reject.
A pass through a real workspace: Meridian, a B2B analytics company with a churn problem. A scripted recording of the actual interface — with one exception. Step four is yours to drive.
Documents you can edit, and read-only evidence you can cite.
Four stages, and a gate at the end of every one. The order matters — this is the path a decision actually takes, and nothing skips ahead.
Drag a support export, paste interview notes, connect a tracker. CSVs parse into real tables. Nothing is summarised on the way in — the agent reads the source, not a digest of it.
It searches, reads, and pivots the raw data, then answers with citations. Where two framings disagree — volume versus revenue — it shows both and says which it trusts.
Tell it to update the spec. The edit arrives in your editor as a diff, hunk by hunk. Take two, leave one — the merged result is what lands, and the audit trail records that it was partial.
Break the spec into tickets with acceptance criteria and push. If the tracker's credential is expiring, the push is blocked with the reason instead of half-writing your backlog.
Every complaint PMs have about using Cursor traces back to one fact: it was built to edit code. No team visibility. No memory between sessions. Integrations that fail silently. And a floor of codebase literacy before any of it pays off.
Prism keeps the interaction model — the tree, the inline edit, the reviewable diff — and swaps the substrate. Your repository is your product knowledge.
| In Cursor | In Prism |
|---|---|
| File tree over a repo | Workspace tree over documents and evidence |
| ⌘K inline code edit | ⌘K inline edit on any PRD paragraph |
| Agent proposes code diffs | Agent proposes document diffs, accepted hunk by hunk |
| .cursorrules | Product Memory — persistent, agent-writable, still reviewed |
| MCP servers that drop silently | Integrations with stored health that refuse loudly |
| Terminal | Ticket composer, pushed to Jira or Linear |
Every change the AI makes is a proposal.
Agent edits, ⌘K rewrites, and updates to Product Memory all travel the same path: a diff in your editor, accepted or rejected hunk by hunk. One mental model for AI changes, not three — and no code path that writes to a document without either your explicit save or your approval.
That is a compliance property, not a preference. No product org will let an agent silently rewrite the spec engineering builds from.
Accept two hunks, reject the third. The merged result is recomputed and recorded, so the audit trail shows what actually landed — not what was offered.
Every accepted diff snapshots the document first. Restore from history, and the restore itself is snapshotted. Nothing is destroyed.
Assertions link to the source excerpt behind them. When the evidence is thin, it says so instead of sounding confident.
Integration health is stored and checked. A degraded connection blocks the push with a reason rather than reporting a success that never happened.
Drag a support export onto the sidebar. It parses into a real table, and the agent pivots it into the severity-by-frequency matrix you'd otherwise build by hand.
Select, instruct, watch the rewrite stream in as a word-level diff. Apply or discard.
Strategy, guardrails and vocabulary injected into every request. The agent can add to it — as a diff you approve.
Break a PRD into an epic and stories with Given/When/Then acceptance criteria. Edit them, then push.
Publish a read-only page for a stakeholder. No account needed, revocable instantly, and no route back into the workspace.
Feedback anchored to the quoted passage, plus a workspace feed built on the audit log — so visibility and governance can't drift apart.
A page that only lists strengths tells you nothing. These are the limits that would matter to you, in the order they'd bite.
No login. Single-tenant demo state. The session seam is isolated to one function, so wiring a real identity provider touches nothing else — but it isn't wired.
No live cursors. Collaboration is asynchronous: comments, attribution, activity. Real-time presence is separate infrastructure and isn't built.
Last write wins. Two people in one document will overwrite each other. Version history means nothing is lost, but there is no merge.
Uploaded sources are untrusted input reaching a tool-calling model. The review gate contains the blast radius, but prompt injection via a malicious export is a real consideration before ingesting production data.
Integration adapters are stubs. Health checks and the push flow work end to end; no HTTP request leaves the machine yet.
Prism keeps its workspace in a local database, so this page is a walkthrough rather than a hosted instance — which also means there's no waitlist and nothing to request. The seeded Meridian workspace comes up with six documents and eight interconnected sources to interrogate.
# no account, no key, no configuration git clone https://github.com/aayusharmaaa/prism.git cd prism && npm install npm run dev # → http://localhost:3000 # optional — real model output instead of the scripted agent echo "ANTHROPIC_API_KEY=sk-ant-..." > .env.local
Without a key it runs a scripted agent that still executes real tool calls — searches, edits and ticket batches land in the review queue exactly as the live model's would. Only the prose is canned.