Making an AI bid writer refuse to lie
The article describes how the author’s AI system, Lucius, was engineered to avoid fabricating information when drafting tender responses. It details failures where the model invented nonexistent partners and missed large portions of requirement data, and explains the structural fixes implemented to enforce honesty. The changes include capability‑fit checks, explicit partner slots, and revised verification logic to prevent false compliance claims.
- ▪During a test on an NHS tender, the AI generated a draft that falsely referenced a non‑existent consortium partner for 42 requirement rows.
- ▪A later extraction error caused the system to miss over half of the requirements in a 99‑page document without raising an error.
- ▪The revised system now performs a capability‑fit check against the bidder’s actual profile before drafting and displays any eligibility gaps in a prominent banner.
- ▪The verifier was updated to stop crediting partner‑framed paragraphs as the bidder’s own evidence and to refuse drafting when the bid is deemed unviable.
- ▪The author offers a free tool that generates a compliance matrix and highlights eligibility gaps for uploaded tender documents.
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Record
| Original publisher | Lucius AI |
| Canonical URL | https://ailucius.com/blog/making-an-ai-bid-writer-refuse-to-lie |
| Publication time | Sat, 08 Aug 2026 10:13:31 +0000 |
| Retrieval time | 2026-08-08T10:20:43.997Z |
| Last seen | 2026-08-08T10:20:43.997Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | NRsBmW3qWpZE · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Home/BlogEngineeringMaking an AI Bid Writer Refuse to LieDavor Jerković, Founder·August 08, 2026·9 min readLinkedInShareThis week we ran a live tender through our pipeline: the design and build of a 3G football pitch for a parish council in Gloucestershire, £950,000, six published documents, 133 pages. The AI produced a first draft in about five minutes. The draft opens like this: Read this first: 11 requirements in this draft are answered by a delivery partner you have not named yet. Minimum turnover evidenced by 2 years of accounts, Professional Indemnity Insurance of £5,000,000, full roll carpet replacement without unauthorised patching, and others. That banner is the feature I am proudest of, and it is a refusal.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Lucius AI.
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