The spec-depth difference
ChatPRD generates user stories and acceptance criteria from a prompt. Delvyn generates specifications from the full strategic context chain.
ChatPRD output
Delvyn output
Why depth matters
When an AI coding agent reads a ChatPRD output, it knows what to build. When it reads a Delvyn agent spec, it knows what to build, why it matters, what strategic guardrails apply, who the user is, and what went wrong last time. The code is the same quality either way - but strategic alignment is night and day. Marty Cagan calls this the difference between a prompt and a product coach — see how SVPG validates this approach.
When is ChatPRD enough?
ChatPRD is enough when...
- You are a solo PM writing quick PRDs for straightforward features
- No formal product strategy or OKR practice exists upstream
- The PRD is a standalone document, not part of a connected system
- You need a fast first draft to iterate on with stakeholders
- Features are simple enough that strategic context is obvious
- Budget is zero and free tooling is the only option
You need Delvyn when...
- Your product team practices discovery before building
- OKRs drive your roadmap - not just backlog priority
- Multiple stakeholders review and align on specifications
- AI coding agents need strategic context, not just task descriptions
- You want specs that improve over time from captured learnings
- Product strategy should flow through to implementation decisions
Feature comparison
ChatPRD (100,000+ PMs, 750,000+ documents) vs Delvyn Studio (spec-driven product management platform).
Pricing transparency
ChatPRD is free to start. That is genuinely great for solo PMs who need a quick PRD draft.
Delvyn Studio is $9/user/month (or $8 on annual billing). It is a paid platform because it maintains the full product context graph - vision, strategy, OKRs, personas, discovery findings, learning captures - and keeps every specification grounded in that context.
The question is not "free vs paid." It is: do your specifications need strategic context? If your team practices product strategy, discovery, and OKR-driven roadmaps, the context graph is what makes specifications effective. If you just need a quick PRD from a prompt, ChatPRD does that well.
Ground your specs in strategy
Start with your product vision. Let every specification flow from strategy, not from a blank prompt.