Run an AI agent for founder market research as a recurring brief

An AI agent for founder market research starts with one question

Before you name a single source, write the one question the brief exists to answer. “Understand my market” is not a question; it is a wish. “What changed this week in my four named competitors’ pricing, positioning, and public complaints?” is a question—narrow, repeatable, and checkable. The whole recurring brief is really five moves, and this article walks through each in order:

• Define one question the brief answers every run.
• Name the sources it is allowed to read—and forbid the rest of the web.
• Require a citation for every claim, and drop anything it cannot source.
• Dedupe against the last run so you see only what changed.
• Deliver a reviewable draft on a schedule, for you to read before you act.

Why it matters: a question you can answer is a question you can check. When the brief lands, you already know what a good answer looks like, so a weak one is obvious in seconds instead of quietly misleading you for a month.

How to judge it: can you say the question in one sentence, and would you recognise a right answer when you saw it? If not, tighten it until you can.

A realistic failure: a founder asks the agent to “research the industry,” and gets back a bland, encyclopedia-flavoured page that is true, generic, and completely un-actionable—the kind of thing that reads well and changes nothing.

The trade-off: one narrow question will miss the surprise sitting just outside its frame. You are trading breadth for something you will actually read every week. That is usually the right trade for a business of one—breadth you never open is worth nothing.

Name the sources it is allowed to read

Hand the agent a fixed, written list of the exact pages it may read: four competitor pricing pages, two of their changelogs, a category news page, a subreddit or forum you trust, your own review inbox. Then tell it plainly that those sources are the whole world for this task and the open web is off-limits. Naming sources is the difference between a brief you can audit and a stream of confident sentences from nowhere.

Why it matters: a fixed list gives you two things at once—provenance and comparability. You can trace any claim to a page you chose, and because the agent reads the same places each week, “what changed” actually means something. This is the same bounded-scope discipline behind picking a good first workflow: “these nine pages” is testable, “whatever seems relevant” is not. It is worth borrowing the reasoning in our note on useful first tasks for an AI agent, where named sources are the line between a safe pilot and a wandering one.

How to judge it: could you read the source list aloud from memory? If the honest answer is “it searches around,” you do not yet have a scoped task—you have a search bar with opinions.

A realistic failure: left to roam, the agent lifts a competitor’s own marketing blog line—“the fastest platform for teams”—and reports it to you as a market fact, or cites a low-quality SEO page that exists only to rank. Neither is evidence; both look like it.

The trade-off: a fixed list will miss a new entrant who is not on it yet. The fix is not to open the whole web—it is to add a standing calendar reminder to review and refresh the source list every month, deliberately, with your judgment rather than the agent’s.

Require a citation for every claim

Make one rule non-negotiable: every line in the brief carries a link to the exact page it came from, and any claim the agent cannot source gets dropped rather than guessed. A brief is a stack of small factual claims; a citation on each one turns the stack from a story into evidence.

Why it matters: citations do three jobs. They make your review fast—you spot-check links instead of re-researching. They expose fabrication, because a claim with no source cannot hide inside a confident paragraph. And they let you calibrate how far to trust the thing, which is exactly what good AI explanations are for; Google’s People + AI guidance argues that data sources “have to be part of your explanations” so users trust a system the right amount rather than blindly.

Weak: “A competitor raised prices.” Strong: “Northwind’s Starter plan moved from $29 to $39/mo — pricing page, read Aug 24 (link).” One is a rumour; the other you can check in eight seconds.

How to judge it: pick any three lines at random and click through. If the page says what the brief says, trust rises. A line you cannot trace is not a finding—it is a rumour wearing a citation’s clothes. Handle the whole brief the way you would any agent output: read, verify, then act, the loop described in read, draft, approve, act.

A realistic failure: the agent blends two competitors’ price changes into one tidy sentence that is wrong about both. Without a link per claim, the error is invisible; with one, it falls apart the moment you check.

The trade-off: strict citation makes the brief shorter, more cautious, and less impressively “synthesised.” That is the point. You lose some confident narrative and gain a document you can stand behind.

Dedupe so each brief shows only what changed

A weekly brief that re-reports last week’s findings as if they were new will train you to stop reading it by the third Monday. So give the agent a memory of what it already told you, and instruct it to lead with the delta: what is new, what moved, what is gone, since the last run. The persistent memory in managed hosting is what makes this possible—the agent can compare today against its own prior brief instead of starting from a blank page each time.

Why it matters: the value of a recurring report is almost entirely in the change, not the standing facts. Ten unchanged lines are noise; the one price that moved is the signal. Deduping is how you keep the signal on top. It is the practical payoff of treating memory as a designed asset rather than a side effect—see designing memory your agent can actually use for how to shape what it keeps.

How to judge it: does each item state its change explicitly—“new,” “up from $29,” “removed”—and roughly what share of the brief is genuinely new versus repeated? A healthy weekly brief is mostly short, because most weeks little changes.

A realistic failure: with no memory, every Monday the agent announces a competitor’s pricing as a fresh discovery, week after week. You learn to skim past it, and the week it actually changes, you skim past that too.

The trade-off: aggressive deduping can bury a slow trend that only matters in aggregate—three tiny moves that add up to a strategy shift. Guard against it by keeping one “full picture” run a month that ignores the dedupe and shows the whole landscape.

Deliver a reviewable draft on a schedule

The last move is where a recurring brief either helps you or quietly speaks for you. Set it to run on a schedule—Monday at 7am, say—and have it deliver a draft you read before anything happens: to the dashboard, or to your pre-configured Telegram, where scheduled work already lands. The agent researches; the decision stays yours. Nothing about a market brief should send, publish, or commit on its own.

Why it matters: to automate weekly research for a solo business is to remove the “remembering” tax, not the “deciding” one. A scheduled draft means the work happens even in the weeks you are underwater, but the moment of judgment—do I reprice, do I reply, do I ignore this—still belongs to a person. That is the whole reason an AI agent for recurring research reports is safe to run unattended: its output is a draft, and a draft costs a glance to correct. Pick the cadence deliberately using how often should your agent run.

How to judge it: can you read the brief and decide in five minutes? And—more important—does anything leave your control automatically? For research, the honest answer should be no. If the brief is only ever read, keep it that way.

A realistic failure: a founder wires the brief to email the whole team on delivery. One week it carries an uncited, half-right claim about a competitor, and now that rumour is circulating internally under the founder’s name. Automating the send was the mistake, not automating the research.

The trade-off: a fixed schedule means some weeks the brief is nearly empty, which can feel like wasted effort. It is not. An empty brief is a real answer—“nothing moved”—delivered reliably, which is exactly what you could never trust yourself to check by hand.