AI does the heavy lifting. A person signs the decision.
Analyst agents on Claude and GPT run the method on your exports: the checks, the first pass, the draft. What reaches you has been rewritten by a person and passed a review gate.
Four jobs the agents do, so your team doesn't.
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Answers
Questions answered from your own data
An agent connected to GA4, Google Ads or your warehouse answers the team's questions directly, so the analyst's queue stops forming.
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The pack
The weekly pack built before the meeting
Orders, margin and promo files in, the pack out, one pinned definition per KPI. Nobody assembles it.
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The gate
Every export checked on arrival
Broken dates, stripped SKUs, two revenues for one week: flagged before a number reaches a slide.
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The draft
A first pass at a breadth one analyst can't reach
Promo, trading, assortment and forecast candidates sized in parallel, each with its assumption named, before a person decides what deserves the readout.
Where it ran, and what it returned.
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Hypersolid
AI insight agent
Half the time per analysis, and a queue at the analyst's desk that stopped forming.
Claude or GPT?
- Claude for the analyst agents: the method is long written instructions, and it follows them.
- GPT where your stack already runs on it.
- The model is a component. The method and the review are the product.
Is our data used to train a model?
- No. We use the models through their business APIs, where inputs are not used for training.
- Personal fields are dropped before any model sees the file.
- The analysis runs in scripts you can read.
Can our own team run the agents after you?
- Yes. The rules are written files and the scripts are Python.
- The handover session shows what would break them.
Will an agent replace our analyst?
- It replaces the Monday morning spent assembling the pack.
- The analyst keeps the question the pack raised.
Bring the pack you build by hand.
Thirty minutes tells you what an agent would build before next Monday.