An AI draft can sound finished while still containing a wrong date, an invented citation or a source that does not support the sentence. This guide gives you a repeatable way to turn that draft into a claim register, evidence record and publication decision in about 30 minutes for a short article.
You can use the workflow with any general-purpose AI assistant. The assistant helps you find and organize claims. You remain responsible for opening sources, reading them and deciding what is safe to publish.
What you will finish
By the end, you will have:
- a list of every checkable claim in the draft
- a risk level for each claim
- a source record showing what each source actually supports
- corrected wording for unsupported or overstated claims
- a clear publish, revise or stop decision
This is for writers, marketers, freelancers and small teams reviewing AI-assisted articles, reports, newsletters or client deliverables. It is not a substitute for qualified medical, legal, financial or safety review.
Quick Start: verify one paragraph first
Choose one paragraph containing at least 2 factual claims. Do not begin with the full document.
- Paste the paragraph into Prompt 1 below.
- Copy the returned claims into the claim register.
- Open the strongest available source for each claim.
- Record the exact passage, table or page that supports it.
- Rewrite or remove anything that remains unsupported.
If the paragraph passes, continue through the complete workflow. If it fails, fix the research process before reviewing the rest of the draft.
Why a second AI answer is not verification
The US National Institute of Standards and Technology defines generative AI confabulation as confidently presented false or erroneous content. It also notes that generated citations can be wrong. Asking the same system to confirm its answer can produce another fluent answer, but it does not create independent evidence.
Verification requires you to leave the draft, inspect the source and trace the claim to its original context. This is consistent with lateral reading: checking what other credible sources say instead of judging a page only by how authoritative it looks.
The VERIFY workflow
Use this NEXAIUM workflow to move from a draft to a documented decision.
| Step | Question | Output |
|---|---|---|
| V: View the claims | What in this draft can be checked? | Claim list |
| E: Estimate the risk | What happens if this is wrong? | Risk level |
| R: Reach the original source | Where did the fact first come from? | Best source |
| I: Inspect the evidence | Does the source support this exact wording? | Evidence note |
| F: Fix the draft | Should the claim be kept, narrowed or removed? | Revised copy |
| Y: Yield a decision | Is the document ready to publish? | Signed gate |
The sequence matters. Do not start collecting links until you know which claims need evidence.
Step 1: View every checkable claim
A checkable claim says something that could be true or false. Common examples include:
- numbers, dates and rankings
- product capabilities, prices and availability
- quotations and attributed opinions
- causal statements such as “X improves Y”
- legal, medical, financial or security guidance
- statements about a person, organization or event
Opinions and recommendations still need clear labeling, but they are not verified in the same way as facts.
Prompt 1: build the claim inventory
You are helping me audit a draft before publication. Do not fact-check it yet.
TASK
Extract every externally checkable claim from the draft. Split combined sentences into separate claims when each part would need different evidence.
FOR EACH CLAIM, RETURN
1. Claim ID: C01, C02 and so on
2. Exact claim or a faithful short quotation
3. Location in the draft
4. Claim type: number, date, quote, product fact, causal claim, legal or policy claim, recommendation premise, or other
5. Time-sensitive: yes or no
6. Consequence if wrong: low, medium or high
7. Evidence needed to verify it
RULES
- Do not invent sources.
- Do not mark a claim true or false.
- Include claims that sound obvious if a reasonable reader could rely on them.
- Separate factual claims from opinions, examples and clearly labeled hypothetical scenarios.
DRAFT
[PASTE DRAFT]Quality check: compare the inventory with the draft line by line. Add any claim the assistant missed.
Step 2: Estimate the risk
Use the smallest review effort that matches the consequence of being wrong.
| Risk | Typical claim | Minimum evidence rule |
|---|---|---|
| Low | A non-critical descriptive detail | 1 credible source |
| Medium | Product capability, market fact or attributed statement | Primary source, plus independent context when interpretation matters |
| High | Health, legal, financial, safety or reputation-sensitive claim | Qualified human review and authoritative sources |
Time-sensitive claims receive at least medium review because a previously correct statement may now be outdated.
Stop conditions
Pause publication when:
- a high-risk claim lacks qualified review
- the source cannot be opened or identified
- the evidence contradicts the draft
- the claim depends on a screenshot without provenance
- the only support is another AI-generated answer
- a quotation cannot be found in the original material
“Probably correct” is not a publish state.
Step 3: Reach the original source
Prefer the source closest to the event or fact:
- official documentation, law, filing, dataset or direct statement
- original research paper or methodology report
- reputable reporting with named sources
- specialist analysis that links to primary evidence
- summaries, aggregators and social posts only as discovery paths
Search results are pointers, not evidence. Open the page and verify its publisher, date, scope and original context.
Prompt 2: create a source search plan
Build a source-search plan for the claims below. Do not state that any claim is verified and do not fabricate URLs.
FOR EACH CLAIM, RETURN
1. Claim ID
2. Ideal primary source type
3. Search query using distinctive terms from the claim
4. Secondary source type, if independent context is useful
5. Date or version detail that must be checked
6. What would count as disconfirming evidence
If a claim is too vague to search, rewrite it as a precise research question first.
CLAIMS
[PASTE CLAIM REGISTER ROWS]Run the searches yourself. Do not cite a result you have not opened and read.
Step 4: Inspect what the evidence actually supports
For each claim, capture:
- source title and publisher
- direct URL
- publication or update date
- exact supporting passage, table, page or timestamp
- scope and important limitations
- your verification status
Use one of 5 statuses: verified, partially supported, contradicted, outdated or unverified.
Copy-ready claim register
| ID | Draft claim | Risk | Source and date | Exact support | Status | Required edit |
|---|---|---|---|---|---|---|
| C01 | ||||||
| C02 | ||||||
| C03 |
Prompt 3: compare a claim with supplied evidence
Compare the claim with the evidence I provide. Use only the supplied evidence.
RETURN
1. Claim ID
2. Status: verified, partially supported, contradicted, outdated or unverified
3. The exact words in the evidence that matter
4. Any difference in scope, population, date, geography, conditions or certainty
5. A minimally edited claim that the evidence supports
6. What still needs human checking
RULES
- Do not fill gaps with general knowledge.
- Do not strengthen cautious language.
- Preserve uncertainty in the source.
- If the evidence does not contain the fact, mark it unverified.
CLAIM
[PASTE ONE CLAIM]
EVIDENCE
[PASTE RELEVANT SOURCE PASSAGE WITH TITLE, URL AND DATE]The prompt helps with comparison, but you must still confirm the pasted passage is accurate and complete.
Step 5: Fix unsupported wording
Choose one action for every claim:
- Keep when the wording matches strong evidence.
- Narrow when the source supports a smaller statement.
- Attribute when the claim belongs to a named person or organization.
- Qualify when evidence is limited, conditional or uncertain.
- Update when a current source has replaced an old one.
- Remove when adequate support is unavailable.
Never hide weak evidence behind phrases such as “experts say,” “studies show” or “it is widely known.” Name the source or remove the assertion.
Prompt 4: revise without adding new facts
Revise the passage using the completed claim register.
GOAL
Make every factual statement match its recorded status and evidence.
RULES
- Keep verified claims within the source's actual scope.
- Narrow or qualify partially supported claims.
- Remove contradicted, outdated or unverified claims unless the text explicitly discusses their uncertainty.
- Preserve source attribution.
- Do not add new facts, examples, numbers, quotations or sources.
- Return the revised passage, followed by a change log keyed to Claim ID.
PASSAGE
[PASTE PASSAGE]
COMPLETED CLAIM REGISTER
[PASTE ROWS]Step 6: Yield a publication decision
Run one final check on the revised version, not the original draft.
Prompt 5: final consistency scan
Audit the final draft against the completed claim register. Do not conduct new research.
CHECK
1. Every factual claim maps to a Claim ID.
2. Numbers, dates, quotations and product facts match the evidence record.
3. No removed claim has reappeared in a heading, caption, summary or metadata.
4. Cautious source language has not become certain language.
5. Links point to the recorded sources.
6. Hypothetical examples are labeled.
RETURN
- Missing claim IDs
- Mismatches
- Unsupported additions
- Final recommendation: publish, revise or stop
- One-sentence reason
FINAL DRAFT
[PASTE FINAL DRAFT]
CLAIM REGISTER
[PASTE COMPLETED REGISTER]Publication gate
Publish only when all boxes are checked:
Decision: Publish / Revise / Stop
Reviewer: ____________________ Date: ____________________
Worked example: a product claim
Illustrative draft sentence:
The platform automatically works with every file type and cuts research time by 50%.
The sentence contains 2 claims:
| ID | Claim | Risk | Result |
|---|---|---|---|
| C01 | It works with every file type. | Medium, time-sensitive | Official documentation lists supported formats, not every format. Status: contradicted. |
| C02 | It cuts research time by 50%. | Medium | No study or measured internal test was supplied. Status: unverified. |
Publishable revision:
The platform supports the file formats listed in its current documentation. Test your own files before relying on it in a production workflow.
The numerical claim is removed. The absolute “every” becomes a verifiable reference to current documentation. No replacement benefit is invented.
Common mistakes
Trusting a citation because it exists
A real paper can still be irrelevant to the sentence. Verify the exact support, not only the title.
Checking the body but not the metadata
Titles, summaries, image captions and social descriptions can reintroduce a claim removed from the article.
Using AI-detection scores as proof of accuracy
Detection and fact verification answer different questions. A human-written claim can be false, and an AI-assisted claim can be supported.
Treating an official source as automatically sufficient
Official sources are strongest for their own policies, products and records. Independent evidence may still be needed for performance or impact claims.
Losing the record after publication
Keep the claim register with the final version. It makes updates faster when facts, prices, interfaces or policies change.
Your finished-state checklist
You are done when you can hand another reviewer:
- the final draft
- the completed claim register
- the exact evidence for each material claim
- a list of removed or narrowed statements
- the named publication decision
For a broader research-to-draft system, continue with The 3-Step AI Workflow. For sensitive inputs, first review Never Paste These 8 Things Into AI.
Sources
- NIST AI 600-1: Artificial Intelligence Risk Management Framework, Generative Artificial Intelligence Profile, July 2024. Verified September 28, 2026.
- Civic Online Reasoning: Teaching Lateral Reading. Verified September 28, 2026.
- Mike Caulfield: SIFT, The Four Moves, June 19, 2019. Verified September 28, 2026.

