THE AI VERIFICATION LAYER
Check Every Claim Before Your Name Is On It
AI writes confident. Not correct. Paste your draft — four models tell you exactly what to fix in 60 seconds.
43% of marketing teams have already published AI hallucinations. — Belkin Marketing, 2026
Each claim labeled Verified, Partially Verified, or Challenged. A prioritized fix list tells you exactly what to change before publishing.
AI Writes Fast. Nobody Checks the Claims.
AI drafts are faster than ever. The overclaimed stats, unsourced numbers, and confidently wrong facts ship just as fast.
$67.4B in global business losses from AI hallucinations in 2024. Employees spend 4.3 hours/week verifying AI output. — McKinsey, Suprmind 2026
Claim Error Rate
OpenAI o3/o4-mini hallucination rate (2025)
Verification Time
per employee (Suprmind 2026) vs per draft
Proof for Editors
documented verification trail
See What TrueStandard Catches
A real health newsletter draft. 50,000 subscribers are waiting. Three claims are wrong.
New research confirms intermittent fasting reduces inflammation by 70% and can extend lifespan by up to 20 years. A Harvard study found that just 16 hours of fasting triggers autophagy, which researchers call 'the body's built-in repair system'...
Published studies show 28-30% reduction in CRP markers specifically, not 'inflammation' broadly. The 70% figure appears nowhere in peer-reviewed literature.
No human study supports this claim. Mouse studies show 10-15% lifespan extension. Extrapolating to '20 years' in humans is unsupported.
Multiple Harvard-affiliated studies on fasting exist with varying conclusions. No specific paper, authors, or year cited.
"New research confirms intermittent fasting reduces inflammation by 70%"
This claim will get screenshotted. Health-conscious readers will check it. The actual research says 28-30% for specific markers. Publishing '70%' risks a public correction that undermines your credibility with 50,000 subscribers.
Core topic is solid. Three claims need correcting before this is safe to send.
Correct the inflammation reduction claim from 70% to 28-30% — this is the claim most likely to be screenshotted.
17 minutes of fixes prevents a correction email to 50,000 subscribers
Without TrueStandard, this writer publishes '70% inflammation reduction' to 50,000 subscribers. The real number is 28-30%.
They Published Without Checking
These aren't hypothetical risks. These are real outcomes from the last 18 months.
Published 77 AI-written articles. 41 needed corrections.
53% error rate. AI publishing program paused.
AI bot auto-published summaries with errors for months.
36+ corrections in 3 months. Staffers couldn't stop it.
Published article with AI-hallucinated quotes.
Reporter fired. March 2026.
Submitted AI-fabricated case citations to federal court.
$5,000 fine. Career-defining embarrassment.
One verification step would have caught every one of these.
Self-Checking vs Manual vs Verification Layer
Three ways to verify AI content. Only one scales without sacrificing accuracy.
| Task | Ask AI to Check Itself | Manual Fact-Checking | TrueStandard |
|---|---|---|---|
| Checking claims before publish | Circular — grades its own test | Thorough but slow | 4 independent models |
| Verifying stats and sources | Often hallucinates citations | Google each one individually | Cross-verified automatically |
| Catching overclaimed numbers | May agree with your error | Easy to miss if it looks right | Flags and explains the risk |
| Time per article | 30 seconds (unreliable) | 30-60 minutes | 60 seconds |
| Consistency across articles | Varies by prompt and mood | Depends on who checks | Same rigor every time |
| Proof for editors | No audit trail | Your word for it | Full verification report |
AI for writing. TrueStandard for checking. Use both.
Built for Writers Who Ship with AI
If AI helps you write faster, TrueStandard helps you publish safely:
Newsletter Writers
One wrong stat in front of 50,000 subscribers means a correction email nobody wants to send
Paste your draft. Every claim checked against four models before you hit send
Publish on schedule without second-guessing your facts
B2B Content Teams
Blog posts, case studies, and docs go through rounds of 'where did this number come from?'
Attach a verification report to every draft. Citations and confidence levels included
Cut review cycles and ship content your editors trust
Independent Journalists
No fact-checking desk. No research assistant. Just you and a deadline
Four AI models cross-check your claims in 60 seconds instead of 60 minutes
File stories with the verification rigor of a larger newsroom
YouTube and Podcast Creators
A wrong claim in a video lives forever. Comments will find it
Check your script before recording. Flag overclaims while you can still fix them
Fewer corrections in the pinned comment
LinkedIn and Medium Writers
A viral post with a wrong number gets screenshotted and shared as a cautionary tale
Run your post through TrueStandard before publishing. Know which claims hold up
Build a reputation for accuracy that compounds
Content Agencies
Writers use AI for speed. Clients expect accuracy. You're caught in between
Add TrueStandard to your QA workflow. Every deliverable ships with verified claims
Charge more because your work comes with proof
Simple Pricing. Real Value.
One prevented correction pays for months of service.
For writers who want to check drafts before publishing
- ✓ 200 credits/month
- ✓ 4 AI models per check
- ✓ Verified / Partially Verified / Challenged labels
- ✓ Prioritized fix list per draft
- ✓ No training on your data
For writers and teams who publish frequently
- ✓ 480 credits/month
- ✓ 4 AI models per check
- ✓ Priority model access
- ✓ Verification reports you can share
- ✓ Export for editors and clients
- ✓ Email support
Best for daily publishers and content teams
For content teams and agencies with high volume
- ✓ 3,000 credits/month
- ✓ 4 AI models per check
- ✓ Priority model access
- ✓ Advanced model routing
- ✓ Verification reports you can share
- ✓ Export for editors and clients
- ✓ Priority email support
Why Not Just Use ChatGPT to Check?
Asking the same AI that wrote your draft to fact-check it is like asking a student to grade their own test. TrueStandard runs your claims through four independent models. When they disagree, you know exactly where to look.
One prevented correction email is worth more than a year of TrueStandard.
Is AI Getting More Accurate?
No. OpenAI's o3 hallucinates 33% of the time. o4-mini hits 48%. Newer 'reasoning' models hallucinate more, not less. Two independent research teams have shown that hallucination elimination is mathematically impossible with current LLM architecture.
This isn't a bug being fixed. Multi-model verification is structurally necessary.
Common Questions
Paste your draft or a specific claim. TrueStandard sends it to four independent AI models. Each one fact-checks your claims separately. You get a report showing which claims are Verified, Partially Verified, or Challenged, with a prioritized list of what to fix before publishing.
Asking ChatGPT to check work it helped you write is circular. It tends to agree with its own output. TrueStandard uses four independent models that cross-check each other, so disagreements surface errors a single model would miss.
Overclaimed statistics ('reduces by 70%' when research says 28%), unsourced claims ('a Harvard study' with no specific paper), outdated facts, and confidently wrong assertions. The claims most likely to be screenshotted if wrong.
About 60 seconds for a typical article. Compare that to 30-60 minutes of manually Googling each claim and cross-referencing sources.
Consensus shows confidence, not certainty. When models agree, you can publish with higher confidence. When they disagree, you know exactly where to focus. TrueStandard flags uncertainty rather than hiding it.
No. TrueStandard flags risky claims and explains why they're problematic. You see exactly what's wrong and what the evidence actually says, but the rewriting stays in your hands.
Never. We use enterprise API agreements with all model providers. Your drafts are never used to train models.
Yes. Every check produces a verification report with claim-by-claim results, confidence levels, and timestamps. Share it with editors, clients, or attach it to internal docs.
Check Your Draft Before Your Readers Do
60 seconds. Four models. Every claim checked. Paste your draft and see what TrueStandard catches.