TrueStandard Logo THE AI VERIFICATION LAYER

Every AI Generates. Who Verifies?

AI is confident—even when it's wrong. TrueStandard catches what would embarrass you. 60 seconds, not 60 minutes.

See How It Works
SINGLE MODEL
1 Answer
Fast
MULTI-MODEL CONSENSUS
4-5 Models
Comprehensive

Blind spot detection before errors happen. See where models disagree and what you need to verify independently.

Generation is Easy. Verification is Missing.

AI generates faster than ever. But hallucinations, false citations, and confident errors ship just as fast:

Content Accuracy

Without TrueStandard
17-34 %
With TrueStandard
<3 %

AI citation error rate (JMIR 2024)

Verification Time

Without TrueStandard
30-60 min
With TrueStandard
90 sec

vs manual copy-paste

Audit Trail

Without TrueStandard
0 %
With TrueStandard
100 %

documented verification

The Verification Layer in Action

Watch TrueStandard catch what generation tools missed—in 47 seconds.

Your Input

MIT researchers just cracked something everyone assumed was impossible... GPT-5.2 hits 98% accuracy at 256K tokens... The cost savings are massive—RLM averages $99 vs $150-275 for direct ingestion...

2,400 words · Technical analysis · High-stakes audience
TrueStandard Analysis
47 seconds
Claude
Gemini
GPT-5
Grok
BLINDSPOTS FOUND
CRITICAL Zero Citations

40+ specific claims. Zero sources cited. Technical readers will notice immediately.

CRITICAL Model Version Confusion

"GPT-5.2," "Claude 4.5," "Gemini 3" — some don't match known releases.

MODERATE "Perfect Performance" Claim

"RLM achieves perfect performance" — one failure case makes this embarrassing.

CAREER RISK ALERT

"MIT researchers just cracked something everyone assumed was impossible"

No paper title, no authors, no venue. If this paper doesn't exist or says something different, entire article's credibility collapses. This will be screenshot'd.

VERDICT
HIGH CONFIDENCE
NEEDS WORK

Core analysis is sound. Evidence quality needs work.

REQUIRED FIXES
Add MIT paper citation 10 min
Verify model version names 30 min
Add benchmark citations 20 min
Change "perfect" to actual metric 5 min

~1 hour of fixes prevents public embarrassment

Generation Tools vs Verification Layer

ChatGPT, Claude, Gemini—use them all. TrueStandard is the layer that verifies their output.

Use Case ChatGPT/Claude TrueStandard
Drafts & brainstorming Perfect Overkill
Exploration & learning Excellent Too slow
Verifying critical work Risky (manual needed) Built for this
Executive strategy docs Single perspective Multi-model debate
M&A due diligence No disagreement visibility Consensus + dissent shown
Regulatory interpretation No audit trail Verification documented
When errors cost real money Not the right tool Designed for this

Generation tools for creation. TrueStandard for verification. The complete AI stack.

Built for Professionals Who Can't Afford to Be Wrong

High-stakes decisions require multi-model verification:

M&A Deal-Makers

Pain:

One bad assumption in CIM = $500K-5M loss

Solution:

Verify financial claims, market sizes, and seller representations before LOI

Outcome:

Catch the error before you wire the money

Professional Writers

Pain:

One wrong fact = credibility destroyed, subscribers lost

Solution:

Cross-verify claims and citations before you hit publish

Outcome:

Publish with confidence, protect your reputation

Founders & Executives

Pain:

Strategic decisions require multiple perspectives

Solution:

Validate market claims and projections before investor meetings

Outcome:

Better decisions through deliberate disagreement

Consultants

Pain:

One flawed recommendation = client trust gone

Solution:

Multi-model verification before client deliverables

Outcome:

Defend every recommendation with documented proof

Researchers

Pain:

Citation errors = retraction + career damage

Solution:

Verify sources and claims before submission

Outcome:

Catch hallucinated citations before peer review does

Solo Professionals

Pain:

Can't afford to hire a verification team

Solution:

One professional + TrueStandard = expert verification panel

Outcome:

Expert panel benefits without the cost

Simple Pricing. Real Value.

One prevented error pays for months of service.

Pro
$20 /month

For individual professionals starting with multi-model verification

  • 200 credits/month
  • All 3 modes (Ensemble, DxO, Synthesis)
  • 4-5 models per run
  • Consensus scores & disagreement highlights
  • No training on your data
RECOMMENDED
Max
$100 /month

For professionals who verify critical work regularly

  • 1,200 credits/month
  • All 3 modes (Ensemble, DxO, Synthesis)
  • 4-5 models per run
  • Priority model access
  • Audit trail & export
  • Email support

Most popular for lawyers, doctors, analysts

Ultra
$200 /month

For high-volume professional use and teams

  • 3,000 credits/month
  • All 3 modes (Ensemble, DxO, Synthesis)
  • 4-5 models per run
  • Priority model access
  • Advanced model routing
  • Audit trail & export
  • Priority email support

Why This Pricing?

TrueStandard costs 2-3x ChatGPT because we run 4-5 premium models per query. We don't train on your data. We're building for professionals who bill $300/hour, not students writing essays.

One prevented error pays for months of TrueStandard. Do the math for your work.

All plans include consensus scores, disagreement highlights, and full verification transparency. Cancel anytime. No hidden fees.

Common Questions

You should use ChatGPT—for drafts, brainstorming, exploration. TrueStandard is for verification when errors cost real money. Different tools, different stakes. Most professionals use both.

If You Manually Verify AI Output, You Need TrueStandard

60 seconds instead of 60 minutes. 60x faster. Multi-model verification for high-stakes decisions.

See Pricing
No Training on Your Data · Verification in Seconds · Full Audit Trail
TrueStandard

The verification layer for AI output. Multi-model consensus for high-stakes decisions.

Company

© TrueStandard