Your customers already told you what to build.
Prisma turns customer interviews, feedback, and product data into evidence-backed specs your team or coding agent can build from.

AI can write the code. Nobody is asking what customers actually want.
Coding agents ship features in minutes. But the hardest part was never writing the code. It's knowing what to build next. And that's still answered with gut calls, scattered docs, and a PM skimming Slack.
“honestly the dashboard is confusing, I just want to see my active experiments without clicking through 3 pages”
ENG-847 · Dashboard navigation overhaul
Dashboard page bounce rate ↑ 34%
Issue #312: “Simplify dashboard nav”
“We love the product but our team gets lost in the dashboard. Half of them just gave up and started using the API directly.”
The code writes itself now.
Knowing what to build doesn't.
From customer conversation to shipping spec. One workspace.
Bring in the evidence
Connect your tools and upload research. Call recordings, docs, data exports. Prisma ingests everything your team already knows but hasn't synthesized.
Talk to customers
AI copilot suggests follow-ups in real time, captures both sides of the conversation, and writes the debrief when you hang up.
See what keeps coming up
Every pain point, feature request, and usage trend, auto-classified. AI finds the themes that span multiple sources. Patterns you'd miss in a spreadsheet.
Ship the spec
A complete feature dossier: problem, solution, technical spec, UI/UX, risks, and acceptance criteria. All grounded in evidence. Hand it to your team or drop it into a coding agent.
Interview Copilot
An AI that actually sits in your customer calls.
Dual audio capture, real-time transcription, contextual follow-ups. Writes the debrief when you hang up. Every insight becomes a signal that feeds your dossiers.
Follow-up questions based on what they just said. One hotkey.
Key takeaways, pain points, and what you still don't know. Done.
Every insight feeds your signal stream and research library. Same theme in Slack next week? Flagged. Upload recordings to the Research tab for AI synthesis.
Try it — click the buttons above
Dashboard navigation too complex, users can't find active experiments
Export data to CSV from analytics view
Onboarding flow drops 34% of users at step 3
Webhook support for real-time notifications
API documentation quality praised by multiple developers
Pattern Recognition
Your users keep saying the same thing. Now you can see it.
Pain points, feature requests, bugs, and praise. Auto-classified and deduplicated from every source. The patterns that should drive your next decision, not another inbox to triage.
Cross-source themes
Same pain point in Slack, a ticket, and a call. Linked automatically.
Severity, not volume
Weighted by impact and frequency, not who shouts loudest.
Decision-ready context
Every pattern traces back to real evidence you can cite.
The Spec Workspace
The most impactful features are the ones nobody asked for. Canvas AI finds them.
Offline Mode
74 / 100 evidence score
Users in low-connectivity environments lose all unsaved work…
Local-first data layer with background sync on reconnect…
7 criteria defined — ready for coding agent handoff
Every feature Canvas surfaces links back to real customer quotes, data points, and tickets — never hallucination. It cross-references signals across Slack, analytics, GitHub, and interviews to find the patterns no single person could spot.
Connects to
Frequently asked questions
A macOS app that connects to your existing tools, classifies product evidence into pain points, feature requests, and more, and generates 9-section specs your team or coding agent can build from.
The code writes itself. Now figure out what to build.
From customer evidence to a shipping spec your team or coding agent can act on. Start with a free trial.