ChatGPT starts from scratch. Specky already knows your product.
ChatGPT is a brilliant general-purpose AI. But every conversation starts from zero — it has no memory of your customers, your last sprint, your open PRDs, or your OKRs. Specky is built around a Product Graph that accumulates everything. The AI gets smarter about your product every week.
- Always knows your product — zero context needed
- Compounds over time — smarter every week
- Autonomous agents do PM work without prompting
- Citations from your real signals not hallucinations
- 14-day trial
- Brilliant general-purpose AI for any domain
- GPT-4o is genuinely state-of-the-art
- Great for one-off writing and brainstorming tasks
- Widely accessible and easy to start
- Zero product memory — every session starts from scratch
Feature-by-feature breakdown
When to choose each
Choose ChatGPT if…
- One-off tasks where context doesn't matter
- Brainstorming sessions and general writing assistance
- General writing assistance across any domain
Choose Specky if…
- You want AI that knows your product as deeply as you do
- You're tired of re-pasting context every session
- You want autonomous work not prompted responses
Why not just paste your notes into ChatGPT?
ChatGPT is an extraordinary writing partner, and it can absolutely draft a PRD. The problem isn't the writing — it's the starting point. Every conversation begins from zero. It doesn't know your customers, your last quarter's decisions, the Gong call where this objection came up, or the Slack thread where three users asked for the same thing. So you spend your time being its memory: pasting context, correcting hallucinated details, and double-checking that the 'customer insight' it produced isn't just a confident guess.
Specky flips that. It connects to your Slack, Jira, and Gong and builds a Product Graph of your actual product reality. When you ask it to draft a PRD, it searches your real signals and cites them inline — the exact quote, the ticket number, the call. You're not feeding it context; it already has it. And because every claim is grounded in a real source, you can defend the decision in the room instead of hoping no one asks where it came from.
Use ChatGPT when you want a blank-slate thinking partner. Use Specky when you want product decisions grounded in your own customers — with the receipts attached, automatically.
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 ChatGPTdoesn't do.
Specky vs ChatGPT — common questions
Can't I just use ChatGPT to write my PRDs?+
You can, but you become its memory — pasting context every time and verifying it didn't invent the 'customer insight'. Specky already knows your Slack, Gong, and Jira, so it drafts from real signals and cites them inline. No copy-paste, no fabrication risk.
Does Specky use GPT or Claude under the hood?+
Specky uses frontier LLMs for generation, but the difference isn't the model — it's the grounding. Specky retrieves your real product signals and forces citations, so outputs are traceable to a source instead of plausible-sounding guesses.
What about ChatPRD or other GPT wrappers?+
Those are great at turning a prompt into a formatted PRD. Specky is the workspace underneath: it runs the customer research, holds the connected Product Graph, generates the tickets, and tracks whether the shipped feature moved the metric — the whole loop, grounded in your data.
Is my data sent to train a model?+
No. Your product data is never used to train any model. It's used only to ground your own outputs inside your workspace.
“Specky drafts our PRDs and tickets overnight. By morning the work is queued, evidence-linked, and ready for us to review and ship.”
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