Agent

Research and assemble the competitive landscape

Autonomously gathers external evidence on the real competition — who competes, on what dimensions, how entrenched — from public sources, funding data, and competitor materials, then assembles a structured landscape.

In / outCompany name + market description → structured competitive landscape (competitors, dimensions, entrenchment signals)

You might say…

The client said they had no direct competitors. I needed to know whether that was true or just a founder belief before I gave any market advice.

What it does

Autonomously gathers external evidence on the real competition — who competes, on what dimensions, how entrenched — by searching public sources, funding/market data, and competitor materials, then assembles a structured landscape. An agent because it runs a multi-step external research loop rather than a single judgement call; output feeds the human's market model.

Trigger: Use when you need an externally-sourced picture of the competitive landscape rather than relying on the client's own characterisation.

Autonomy: Acts autonomously — runs end-to-end without a human in each loop.

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The primitives are the commodity part. The fastest next step is a conversation about composing them into something that works for you.

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