What does "AI-native" actually mean?

Working from a model of your product instead of from prompts. You stop re-explaining context every session and start from what your team already decided. The tool carries the memory; you keep the judgement.

Why not just use ChatGPT?

Because it only knows what you paste in. Anchor reads your sources first, keeps a model of the product between sessions, and tells you what's missing instead of smoothing over it.

Will AI replace Product Managers?

No. It doesn't decide what to build or which trade-off is acceptable — those need someone accountable. It removes the archaeology, not the judgement.

How long does setup take?

Connect one source and you'll have something useful the same day. Most teams start with interviews and existing PRDs, then add Jira and Slack.

Encrypted in transit and at rest. Access follows the permissions of the systems you connect. Disconnect or delete a brain at any time. Your data doesn't train foundation models.

What if my sources contradict each other?

That's the useful case. You see both statements, where each came from, and a question asking you to decide.

What if we barely document anything?

Then gap detection is what you'll use most. Anchor works with call recordings and Slack threads, and is explicit about what it doesn't know.

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What engineers ask for when they ask for 'more detail'

Almost never more words. Usually one of five specific missing things.

Ilan Weiss28 May 20266 min read

'Can you add more detail?' is the most misleading piece of feedback a spec receives, because the natural response is to make it longer, and length is almost never what was missing.

What is usually meant

The failure case — what happens when the happy path does not happen
The boundary — how many, how long, how often, and what happens at the limit
The authority — who decides this if we disagree during implementation
The precedent — is this consistent with how we did the same thing elsewhere
The reason — because a requirement whose purpose is legible can be implemented intelligently when reality differs

Why the request comes out vague

Because the gap is only visible from inside the implementation. The engineer knows something is missing before they can name it, and 'more detail' is the honest shape of that feeling. The productive answer is not to write more. It is to ask which of the five is missing.