Your starting point
A workflow teams still solve by hand
- Natural-language idea
- Target-user hypothesis
- Observed market pattern
AI-native product decision intelligence
Find your next opportunity. Know when your roadmap should move.
Product
Switch journeys, inspect evidence, and compare valid outcomes before anything becomes delivery work.
Your starting point
Cited evidence
Direct product pages and release notes establish what changed.
VerityLoop recommendation
The market pattern is credible. Demand, urgency, and willingness to pay remain unknown.
Approved direction
Approved PRD
How it works
Evidence agents turn uncertainty into a governed, human-in-the-loop path from signal to reviewed delivery work.
Begin with a founder’s question or a verified market change.
Use source-grounded retrieval to check identity, freshness, before-and-after state, and source quality.
Review relevance, conflicts, unknowns, and response options.
Create an agent-ready PRD only after a human chooses an eligible direction.
Draft delivery work only after PRD approval and engineering review.
Two starting points. One governed loop.
VerityLoop adapts its governed agent workflow to the context you have—not the paperwork you do not.
For founders
Use evidence agents to turn an idea, problem, or market curiosity into a framed opportunity backed by cited market evidence.
For product teams
Connect a verified market change to strategy, customers, decision memory, PRDs, roadmap, and delivery work before reacting.
Bring the context you have
Begin with one sentence or connect permission-scoped strategy, product, customer, and delivery sources. VerityLoop gives evidence agents grounded context without replacing the tools where work already lives.
FAQ
No. VerityLoop uses evidence agents to recommend and draft. A human owns priorities, approval, and every external commitment.
Early access
Join the VerityLoop waitlist for MCP-ready context, agent-ready outputs, and decisions grounded in evidence.