How NELL avoids hallucination.
Every report is engineered to be defensible. Here is what that means in practice - the mechanisms baked into how we generate, the failure modes we refuse, and what we are still shipping to make the data even harder to dispute.
Last updated: May 12, 2026
What every NELL report does, by design
Web-grounded retrieval, not training-data guesses
Every claim is sourced from public material we retrieve at generation time - competitor pricing pages, funding announcements, review sites, regulatory filings, founder forums. Training-data recall is not allowed as a primary source.
Disciplined report schemas
Validation follows the 5-pillar structure (problem real · market worth it · can we win · can we monetize · verdict). GTM follows the 5-step plan. Structured output dramatically reduces the surface area where hallucination breeds.
Per-section confidence ratings
Each section in every report carries an explicit confidence label (High / Medium / Low) tied to the strength and recency of the underlying evidence. You see when we are sure, and when we are inferring.
Brutal-truth verdicts
NELL is built to tell you when an idea will not work. Weak evidence, inflated TAM, commodity-risk AI wrappers, missing willingness-to-pay - these are all flagged, not glossed over. Sycophancy is what most users distrust about AI.
Automatic credit refund on failed reports
If a report fails to generate cleanly, is interrupted, or comes back unusable, the credit is automatically returned within seconds. You see a toast notification on the dashboard. We do not charge for output we cannot stand behind.
What we refuse to fabricate
Most AI hallucination shows up in a small set of failure modes. We have designed explicit behaviors for each.
Anatomy of a NELL claim
Every load-bearing claim in a report carries four pieces of metadata. If any are missing, do not trust the claim.
- 1The claim itselfSpecific, testable, framed in plain language. Not marketing prose.
- 2Cited sourceInline link to the URL we retrieved. Clickable. Goes to the page that actually supports the claim.
- 3Confidence ratingHigh / Medium / Low. Tied to source quality and the recency of the evidence.
- 4Kill criterion (where applicable)The specific signal that would invalidate the claim. Strategy you cannot disprove is not strategy.
What we are shipping next
We publish the roadmap so you can see where the trust bar is going, not just where it stands today.
"Insufficient evidence" labels everywhere
Shipping nextEvery quantitative field in every report will carry an explicit "Insufficient evidence" state when sources cannot back the number, instead of a fabricated estimate.
Source-quality tier on every citation
Q3 2026Citations will be tagged Primary (G2 reviews, regulatory filings, founder forums, GitHub) vs. Secondary (analyst summaries, press coverage) vs. Tertiary (SEO content), with the tier visible on the report card.
Conflict flagging on disputed claims
Q3 2026When two reputable sources disagree on a number (e.g., TAM = $5B vs $20B), the report will surface both and explain the basis for each.
"Flag this claim" button on every section
Q4 2026One-click reporting on any claim that looks wrong. Routes to the NELL team for blind audit; a public correction log will be published quarterly.
Falsifiable 7-day tests on every claim
Q4 2026Every load-bearing claim will be paired with a specific 7-day experiment you can run to disprove it. Validation becomes a hypothesis, not an assertion.
Evidence-drift detection on re-runs
2027Re-run a report 30+ days later and NELL will surface what has changed (new competitor funded, new regulation, new published research) so the picture stays live, not frozen.
Found a claim that looks wrong?
Tell us. We treat every flagged claim as a real audit, not a support ticket - and we publish a quarterly correction log so the work is visible.
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