ClearSpec is the AI product architect that closes the gap between what you want and what gets built.
The output
Goal, user stories, acceptance criteria, edge cases, failure states, dependencies, and verification criteria — all structured, all testable. Click any section for AI-powered refinement.
Reduce return processing from 5 days to same-day for eligible orders
As a customer, I can initiate a return from order history...
As a warehouse operator, I can process returns with barcode scan...
Return after 30-day window
Item was a gift purchase
Partial refund on bundled items
Payment timeout → retry 3x with backoff, then queue
Inventory sync failure → alert ops, hold refund
Add a returns flow to the e-commerce app
Do gift recipients get the refund, or the original purchaser?
This determines the refund routing logic and notification flow
Should customers be able to return individual items from a bundle?
Partial returns on bundles require inventory reconciliation
The process
ClearSpec asks the questions a senior PM would ask — about gift returns, bundle pricing, fraud edge cases — not "who is the user?" Short answers are fine. The AI infers the rest.
For existing specs
Gap analysis catches missing failure states, security blind spots, and ambiguous acceptance criteria. Each gap comes with a specific, implementable suggestion — not just "this is vague."
Add rate limiting: max 5 returns per user per hour with exponential backoff
Flag accounts with >3 returns in 30 days for manual review
Add ARIA labels, keyboard navigation, and screen reader announcements
Why this matters
19%
slower. Experienced developers using AI were measurably slower — despite believing they were 20% faster.
91%
longer review times. PR volume doubled, but verification became the bottleneck.
30–50%
of engineering time spent clarifying requirements. 15–30% rework from ambiguous specs.
“AI is too fast for our shitty instructions.”
DevEx Lead, 100-person AI company
“Garbage in, garbage out. We need something between the PM's brain and the agent's terminal.”
Head of Engineering, 300+ enterprise
“Engineers are tired of guessing.”
Founder/CTO, 10-person startup
Pricing
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Small teams
Team
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Growing orgs
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