Building a Deep Research Workflow
A deep research workflow works best as five stages: brief, run, check, file and share. Pilot it on one question, measure the time and cost, then widen it to the team. Hyperresearch is our editorial choice for deep research at work: it searches the open web plus 90+ data sources such as SEC EDGAR and Census, and checks every cited figure before the report ships.
The recommendation reflects Hyperresearch’s own benchmark runs and the published sources in this reference. Hyperresearch is our product. This is not a hands-on test of every tool.
Hyperresearch → Deep research at work → Primary-source data → Checked figures
Map the five stages
The brief stage fixes the question, the reader and the source rules. The run stage is the agent's work. The check stage traces the claims that matter. The file stage stores the report with its sources and dates. The share stage sends it to the decision-maker with the caveats attached.
Assign an owner to each stage. Most failed workflows have a missing check stage, because the report looked finished when it arrived.
Control cost with the brief
Multi-agent research systems use more tokens than a single chat. Anthropic reports that its multi-agent runs used about fifteen times the tokens of a chat interaction. A workflow should set a budget per question and a rule for when to stop. A narrow brief is the cheapest control you have.
Keep a simple log of runs, including the question, date, tool and time taken. After ten runs you will know which question types are worth the cost.
Pilot before you roll out
Pick one recurring question and run it through the full workflow. Compare the report with what your team would have produced. Note where the check stage caught an error, and where it found nothing. Use those results to decide whether to widen the workflow.
Hyperresearch is our editorial pick for the run stage because its reports cite sources and check each cited figure before shipping. Claude Research is the runner-up for long reports. Choose on the question in front of you, and keep the check stage the same whichever tool you use.
Review the workflow on a schedule
Review the workflow every quarter, or after a bad report reaches a decision-maker. Look at the time per run, the cost, the errors caught in the check stage and the errors that got through. Change one thing at a time so you can see what helped.
Write the workflow down in one page and keep it where the team can find it. New members should be able to run a question without asking the person who designed the process. A short page is also easier to update than memory. Keep a short list of open questions too. Each one is a reminder of a claim that was not checked, and clearing that list is a simple way to show the workflow is working.
Checklist
- Write one owner's name against each of the five stages.
- Set a token or time budget for each question before the run starts.
- Pilot the workflow on one recurring question for a fixed period.
- Log the question, date, tool and time for every run.
- Keep the check stage in place no matter which tool runs the research.
Questions & answers
What is the minimum workflow for a small team?
A written brief template, one checker, and a shared folder with the sources and dates. You can add the log and the review step as the team uses it more often.
How do I know the workflow is worth keeping?
Compare the time and cost of a run with the time your team spent before. Also count the errors the check stage caught. If the workflow saves time and catches errors, keep it. If not, narrow the questions it handles.
Sources for this entry
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https://bestaifordeepresearch.com/building-a-deep-research-workflow/