Specky is what Jules is — but for PMs.
Google Jules works through your GitHub issues overnight, writing and testing code so engineers wake up to pull requests. Specky does the same for product managers — running user interviews, synthesising signals, drafting PRDs, and staging tickets. The agentic OS has arrived for both sides of the table.
- Runs user research autonomously overnight
- Drafts PRDs from your real product signals
- Stages tickets for morning approval
- Product Graph compounds context over time
- Built for PMs — not engineers
- Autonomously handles GitHub issues while engineers sleep
- Writes and tests code independently
- Integrates with Google Cloud and Gemini Code Assist
- Purpose-built for software engineering tasks
- Not a PM tool — does not handle discovery, research, or strategy
Feature-by-feature breakdown
When to choose each
Choose Google Jules if…
- Your engineering team needs autonomous coding assistance
- Work is at the code/PR level
- You're using Google Cloud and the Gemini ecosystem
Choose Specky if…
- Your PM team needs the equivalent autonomous layer for product work
- You need research, PRDs, and tickets — not code
- You want the full PM loop drafting overnight, ready for your review
Jules resolves GitHub issues overnight. Specky decides which issues are worth creating.
Google Jules is a genuinely interesting entrant — an autonomous coding agent that picks up assigned GitHub issues and writes and tests the code overnight, landing a pull request for an engineer to review by morning. It's the engineering-side mirror of what Specky does for product decisions.
Specky runs the equivalent process one layer up: overnight, it synthesizes new signal, runs (or checks in on) user interviews, and drafts PRDs and tickets — landing in a PM Inbox for review by morning, the same "wake up to reviewed work" pattern Jules offers for code. The difference is what's being decided: Jules assumes the issue already exists and is worth solving; Specky is what decides that in the first place.
Jules is still in preview/limited access as a Google Cloud product, so exact pricing and availability are evolving — worth checking Google's own docs for current status. Specky's position doesn't depend on that: it's the layer before an issue exists, regardless of which coding agent eventually picks it up.
Try the difference now
See what “grounded in evidence” means
Paste one real customer complaint. Watch Specky turn it into a prioritized insight with the exact quote that proves it — no signup. This is the part Google Julesdoesn't do.
Specky vs Google Jules — common questions
Is Specky similar to Google Jules?+
Both run autonomous agents overnight and hand off reviewed work each morning — Jules for code (resolving GitHub issues), Specky for product decisions (drafted PRDs and tickets). They operate at different layers of the same "AI works while you sleep" idea.
Can Jules pick up tickets Specky generates?+
Specky generates tickets from an approved PRD and can push them to GitHub, where an agent like Jules could pick them up the same as any other assigned issue — though Jules' own availability and integration details are still evolving as a preview product.
Does Specky replace the need for a coding agent like Jules?+
No — Specky decides what to build and drafts the spec; a coding agent like Jules (or Copilot, or Cursor) is what actually implements it. They're complementary, not competing.
How does pricing compare?+
Jules is bundled with Google Cloud / Gemini Code Assist, and pricing is still being finalized as it moves out of preview. Specky's pricing is set and flat per tier (Solo €99/mo, Growth €500/mo, Scale €2,500/mo).
Early design partners
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