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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Your AI doesn't have amnesia. You do.

The reason output feels generic is almost never the model. It's what you were able to remember to paste.

Ilan Weiss11 June 20264 min read

There is a particular disappointment in reading a generated PRD that is fluent, well-structured, and describes a product that is not yours. The instinct is to blame the model. Usually the model did exactly what it was asked with exactly what it was given.

The paste ceiling

Output quality is capped by the context you supplied, and the context you supplied is capped by what you could recall and find in the two minutes before you hit enter. Every session starts from that ceiling, and every session starts from scratch.

You are not prompting a model. You are dictating from memory, under time pressure, and hoping you left nothing out.

What changes when the memory is not yours

When the product's context is held somewhere durable, the first move stops being 'explain the product' and becomes 'here is the question'. The interesting consequence is not speed. It is that the tool can now disagree with you — because it knows something you forgot.

Point of viewAI-nativeCraft