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PRACTICAL AUTOMATION / RESEARCH & DATA

AI agents for research and data

Useful research automation starts with a question and an output format. Whether you need a recurring report or structured facts from selected pages, keep the evidence connected to the result so the next person can inspect it.

A USEFUL FIRST OUTCOMEA repeatable report or dataset with traceable sources

What to check before you build

START SMALL. CHECK THE RESULT.
01

Bound the research

Choose the question, permitted sources, date range, and stopping point. “Search everything” makes cost and completeness difficult to assess.

02

Separate facts from interpretation

Keep retrieved facts, source URLs, and the agent’s conclusions in distinct fields. Note inaccessible or missing sources instead of treating them as evidence of absence.

03

Check a sample manually

Open the cited pages and compare them with the extracted fields. Look for duplicate records, stale facts, missing units, and summaries that overstate what the source says.

Your first pilot. Produce one report for a real decision-maker. Ask what was missing, verify a sample of claims, and choose a refresh schedule only if the report is worth receiving again.

Explore the workflows and tools

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Playbooks are suggested starting points. Scouted projects are leads to investigate. BotScout has not independently tested these tools. How we select and label finds ↗