— Door 04 · Capacity, honestly shown

One writer. A research team's throughput.

The honest pitch: AI handles the routine half — literature scanning, response tabulation, theme clustering, first-draft prose — so the human half (analysis, judgement, accuracy, the executive narrative) gets all of me. The panel below is an illustrative concept, not live data.

Read the application →
▣ AI does the routine half
  • Scan the literature & prior reportsscanned
  • Tabulate & clean survey responsesstructured
  • Cluster open-text into themescoded
  • Draft first-pass prose & chartsdrafted
  • Format the Word deliverabletemplated
♥ The human keeps what matters
  • What the data actually meanshuman
  • Is every claim evidence-backed?human
  • Clinical & technical accuracywith SMEs
  • The executive narrative & judgementhuman
  • Final report sign-offhuman

Workstream

End-to-end

survey → analysis → whitepaper

Survey questions

~20

designed across 5 themes

Maturity model

5 levels

benchmark every respondent

Unverified claims

0

the only acceptable number

AI research feed · illustrative

Theme signal

"Interoperability is surfacing as the dominant scaling barrier across open-text responses — I've clustered the quotes and drafted the finding for your analysis."

Source check

"Three claims in the draft need a citation or SME confirmation — flagged and held out of the report until verified."

Draft ready

"Executive summary first pass is drafted in the Word template — ready for your edit and the strategic framing only you can add."

How the engagement runs

Phase 1Design the instrument with your SMEs · agree the maturity model
Phase 2Field & monitor · AI tabulates as responses land
Phase 3Analyse · I interpret, AI handles the grunt work
Phase 4Draft the whitepaper · SME verification loop
Phase 5Polish & deliver the final Word report
See the instrument → See the report →

A line I won't blur

AI accelerates research. It never decides what's true, and it never substitutes for domain expertise. Every statistic, every clinical or technical claim, is verified by a human — me — in a tight loop with the client's subject-matter experts. This dashboard is a concept to show the workflow, not a live system.