Build a Research Agent
A source-backed research agent workflow with question scoping, source capture, claim extraction, synthesis, verification, and reviewer approval gates.
Workflow
A founder daily briefing workflow for source-backed market scans, customer signals, operational risks, priorities, and reviewable decision notes.
A founder’s daily briefing agent prepares a compact review of market changes, customer signals, competitor updates, product metrics, operational risks, and priority decisions. The value is focus. A founder should start the day with evidence, caveats, and next actions rather than a pile of links or a confident but unsupported summary.
This workflow should be treated as an evidence-preparation assistant, not an executive decision-maker. It can gather sources, extract signals, and draft a briefing. It should not send messages, change strategy, or trigger customer-impacting actions without review. The research agent workflow provides the source-backed pattern.
Inputs include trusted feeds, internal metrics, support notes, customer feedback, competitor changes, sales updates, product incidents, and the founder’s current priorities. Each input should have an owner and freshness expectation. A stale metric or old competitor page should be labeled, not blended into current advice.
Outputs include facts, interpretations, risk flags, suggested actions, open questions, and a source appendix. The briefing should clearly separate what happened from what it might mean. It should also identify signals that require a human decision.
A practical stack includes feed reader, analytics export, support or CRM digest, competitor diff monitor, source table, summarizer, and briefing template. If the workflow connects to internal systems, use read-only permissions first. Draft actions can come later; production actions should remain approval-gated.
The competitor monitoring workflow can feed one section of the briefing. The weekly AI workflow operating system can review whether the daily briefing is still useful.
First, define briefing sections. Common sections include customer signals, product metrics, market or competitor changes, operational risks, decisions needed, and follow-up from yesterday. Keep the structure stable so changes are easy to spot.
Second, collect sources before summarizing. The agent should capture source title, date, owner, and link or internal reference. If a source cannot be captured, the briefing should mark the item as unverified.
Third, extract signals. A signal should be specific: a metric moved, a customer asked for a pattern, a competitor changed a page, a support issue repeated, or a deadline is approaching. Avoid vague statements like “market interest is growing” unless evidence supports them.
Fourth, separate interpretation. The agent may suggest why a signal matters, but it should label that as interpretation. The founder can then accept, reject, or ask for more research.
Fifth, prepare actions. Suggested actions should be small, reversible, and tied to evidence. High-impact actions should be review-only until approved.
Sixth, close the loop tomorrow. A daily briefing should carry forward unresolved questions, decisions made, and actions still waiting for evidence. Otherwise the agent creates a new summary every morning without remembering which signals actually mattered.
Facts, interpretations, and recommendations must be separated. Every important fact needs a source. Every recommendation needs an evidence note and impact label. If sources are missing or contradictory, the briefing should say so.
Use the source-backed AI writing standard before sending the briefing to other leaders. A daily briefing can shape decisions quickly, so unsupported claims are costly.
The founder or operator reviews high-impact recommendations before action. The review should ask: Is this source current? Is the interpretation reasonable? Is the action reversible? Who owns follow-up? What evidence would change the decision?
Briefing agents fail by mixing facts with advice, overweighting noisy signals, repeating stale sources, hiding uncertainty, or creating a daily ritual no one uses. They can also fail by becoming too long. A briefing that cannot be read in a few minutes will not guide action.
They also fail when all sources are weighted equally. A customer escalation, a production incident, and a competitor blog post should not receive the same priority simply because they arrived on the same day.
It should separate facts, interpretations, risk flags, recommended actions, open questions, and source evidence.
No. It should prepare evidence and suggested actions, while founders or operators approve high-impact decisions.
Use the AI Workflow Planning Template to define briefing sections, allowed sources, review gates, and action boundaries before building the workflow.