Build a Research Report with Checked Data and Citations
Assemble a repeatable report from an agreed dataset, web context and relevant research papers, with approval before distribution. Plan around three hours to configure a small working flow and 30 minutes for each draft afterward; data cleanup, source verification and editorial approval need additional time.
Download workflow config (JSON)Who this is for
Budgets and times below are editorial planning estimates, not vendor quotes or measured time savings.
- Goal
- Produce recurring research reports whose figures, citations and recommendations can be traced back to checked evidence.
- Best suited to
- operator
- Skill level
- Intermediate
- Monthly budget (planning estimate)
~$200/month for one operator
Budget assumptions: Reserve a monthly ~200 planning bucket for one operator: Notion Business lists $20 per seat, n8n Cloud Starter €20, and optional Elicit Plus or Consensus Pro $12 or $10 respectively. Perplexity and Claude API usage is billed separately from chat subscriptions, so set spending limits before scheduling reports. Exchange rates, billing cadence and execution allowances need checking; paid datasets, additional seats and external PDF services are excluded.
- Time per week (planning estimate)
- After about 3 hours of setup, allow 30 minutes per report draft plus data checks, citation checks and approval.
How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Define your report structure
In Notion AI, define fixed sections such as Executive Summary, Key Metrics, Market Context, Risks and Recommendations. Prepare a permitted dataset with field definitions, reporting dates and units; reconcile its totals before deciding which supported source connection to configure. Keep a dated copy of the data used for each report.
Analyst-approved section template and dated data packet with checked totals and units.Step 2
Collect and check web context
Configure n8n to request web context through Perplexity's API using the report topic and date range. Open the cited pages to check that each claim matches the original passage, reporting period and metric definition; remove unsupported claims. API charges are separate from a Perplexity chat subscription.
Web context with links and dates checked against the cited pages.Step 3
Synthesize research with Elicit or Consensus
For evidence-based questions, use Elicit or Consensus to identify relevant research and inspect the underlying papers, study populations, methods and limitations. Transfer the selected findings and references into the evidence packet manually unless you have suitable access and a tested connection. Do not interpret agreement among retrieved papers as statistical certainty.
Reviewer-selected paper findings with study limits, or a documented decision to omit this optional stage.Step 4
Generate the written report
Use a configured Claude API call in n8n to draft the Notion template sections from the checked data and evidence packet. Request clear citations and separate observations from recommendations. Have an analyst reconcile figures, units, quoted findings and conclusions before approving the draft; a Claude chat subscription does not cover API usage.
Report draft awaiting analyst checks of figures, citations and inference.Step 5
Approve, format and distribute
After analyst approval, use the configured n8n flow to create or update the Notion report and send the approved summary to the intended Slack recipients. Test page permissions and delivery before scheduling repeat runs. If a PDF is needed, export and inspect it manually using an available export option rather than assuming a separate integration is included.
Expected output
A reviewed report with a dated dataset, traceable figures, checked citations, a clear distinction between evidence and interpretation, and unresolved questions recorded before distribution.
Why these tools
- Notion AI
Notion AI gives recurring sections and completed reports a shared home when the team already works in Notion; a new workspace subscription is harder to justify for an isolated report.
- Perplexity
Perplexity supplies linked web context that an editor can inspect against the report's dates and definitions, rather than treating a cited summary as proof that every claim is accurate.
- n8n
n8n coordinates configured data and model API calls with an approval checkpoint, but self-hosting adds server upkeep and sending data to external services still requires a permissions check.
- Claude
Claude can turn a checked evidence packet into a coherent long-form report, while the analyst remains responsible for whether its conclusions follow from the supplied data.
- Elicit
Elicit supports structured extraction and synthesis across research literature or uploaded documents, making it useful for an evidence table but unnecessary for a report concerned only with routine operating metrics.
- Consensus
Consensus offers a focused route to scientific literature for an evidence-based question, although agreement across retrieved papers does not establish statistical certainty or cover the wider web.
Maintenance reality
- Distinct tools referenced
- 6
- Fragile step
- Generate the written report: a changed field name, mixed reporting period or omitted caveat can turn valid inputs into a misleading narrative.
- Monthly check
- Run a sample report against its original records, reconcile totals and units, reopen cited passages, inspect failed API calls and spending, and confirm the approval gate and recipient permissions still work.
- Tool choices and upkeep notes
- Six tools are listed, but Elicit and Consensus are optional literature routes rather than two mandatory stages; transfer their reviewed findings manually unless suitable access and a tested connection are available.
Alternative stacks
Shared capability tags describe possible substitutions, not automatic integrations or drop-in compatibility. Review each tool's role and the handoffs before switching.
A small hosted reporting flow in Make
- Monthly budget (planning estimate)
- ~$50/month for one operator
- Budget assumptions
- Notion Business at the listed $20 per seat and Make Core at $12/month leave limited room in a ~50 monthly bucket for one operator's Perplexity and Claude API calls. Use Elicit or Consensus Free for occasional manual literature checks. Cap API spending and report frequency, confirm billing terms and credit allowances, and pause rather than assume overages fit; paid datasets and external PDF services remain outside this budget.
- Tradeoff
- Rebuild the request mapping, filters and approval handoff in Make rather than importing an n8n flow; its visual automation can serve the same reporting job, but you give up the self-hosting option and must watch credits and API costs as report frequency grows.
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