Repo path
research/interviews/undated-2026-danny-ai-summary-review/README.md
Supporting evidenceCustomer and pilot evidence
AI summary expert review
An expert review providing explicit counterevidence against treating every contextual AI summary as ready for unsupervised client reporting.
Notes
The supplied transcript is incomplete and has no session date.
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--- title: "AI summary expert review" status: processed source_type: incomplete prototype review session_date: unknown year: 2026 participants: - Danny Bowles - Desmond Leo product_area: "Quant Surveys / AI summaries" tags: [ai-summaries, reporting, counterevidence, internal-practitioner, incomplete-transcript] --- # AI summary expert review ## Source file - [ai-summary-review-incomplete-transcript.docx](./ai-summary-review-incomplete-transcript.docx) — supplied transcript with no date header and a gap between 1:09 and 15:01. ## Evidence relevant to launch - Danny described the output as “very mathematical and formal” and “very unhuman” (0:10). - He said, “I wouldn't use it as it is,” pointing to language quality and a weak brand-equity section (15:33–16:16). - He wanted more holistic, action-oriented interpretation rather than a purely factual summary (from 16:59). ## What this supports The underlying summarisation mechanism was tested with an experienced researcher, but this source is principally counterevidence: contextual, client-facing summaries still need expert review and refinement. ## What this does not prove The session is incomplete and undated. Its criticism should not be generalised to every AI-summary use case, but it prevents an unqualified claim that all summary outputs are ready for unsupervised reporting.