TECHCREDALYST CAREER PROVENANCE ANALYSIS
How It Works X-Ray Tool Signals
Staff+ & Principal IC Hiring
Beta · Examiner Build

Hire What's Real.

Output can be generated. Experience leaves provenance.

Detect fabricated experience before it costs you a hire.

Interviews validate performance.
They do not validate history.

And hiring decisions are made on history.

For hiring decisions where experience authenticity is non-negotiable.

Match Score · Provenance Score™ · Fabrication Flags · Validation Probes

This candidate may look strong.

Many fabricated experience claims survive traditional interviews — because interviews validate capability, not historical ownership.

You will only discover the gap after the hire.

In an AI-saturated hiring environment, output is no longer evidence.

What Career X-Ray Produces

Provenance Score™
0–100 signal confidence rating per candidate
🔍
Fabrication Signal Analysis
Five AI fabrication patterns detected across seven dimensions
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Validation Probes
Questions built from the actual resume — not generic interview scripts
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Examiner Recommendations
Human-reviewed assessment delivered within 48 hours

Not a verdict. A risk assessment — so you decide with full signal.

Seven-Dimension Analysis

Paste a candidate resume. Add a JD for role-specific fabrication signals.

Adding a JD generates role-specific fabrication probes.

Paste experience claims to run analysis.
Parsing experience timeline…

↑ Paste Resume Above to Reveal Risk Signals

Seven-dimension forensic analysis • Role-specific probes • Fabrication detection

Provenance Risk 72 / 100 Elevated Risk

This candidate presents elevated fabrication risk. Proceeding without validation introduces a hiring decision you can't undo.

✓ JD-CONTEXTUAL ANALYSIS
Seven-Dimension Breakdown Score 1–10
Fabrication Signal Flags 0 DETECTED
Validation Probes Tailored to this resume
🔒
Unlock Validation Probes

5 targeted questions derived from this resume's specific signals. Enter your work email to unlock.

Provenance Risk PRIMARY SIGNAL
72
RISK / 100

This is a surface-level signal scan.
Fabrication risk cannot be confirmed without examiner validation.

Proceeding without validation introduces a hiring decision you can't undo.

Technical Match
6.8
/10
Verdict
Elevated Risk

Do not proceed based on interview performance alone.

Examiner's Note

Linguistic consistency across a multi-year span is statistically unlikely without assisted authoring. Stack depth claims exceed typical senior IC progression velocity. These signals do not confirm fabrication — but materially increase risk.

Why This Matters

Interview performance will not expose fabricated history

Architectural decisions get made on false experience

Failure surfaces 2–3 quarters after the hire

This is not a screening issue. This is a post-hire risk.

Recommended Action

Do not proceed on interview performance alone. Validate:

Claimed ownership scope

Metric attribution chain

System-level decision tradeoffs

Run another candidate. Patterns become obvious fast.

The forensic layer most hiring systems skip.

These are not resume checks.
These are forensic signals designed to expose fabricated experience.

01
Temporal Plausibility

Timeline feasibility, experience depth relative to tenure. Is the claimed accumulation of seniority possible within the stated time?

02
Stack Saturation

Claimed technical breadth versus realistic depth. Full-stack mastery plus ML plus infra in 36 months is a fabrication signal, not a strength.

03
Metric Coherence

Specificity, plausibility, and causal attribution of impact numbers. Precise metrics without ownership context are orphaned data.

04
Ownership Signals

"Led" and "drove" without org structure, headcount, or tradeoff context are noise. Real ownership leaves an evidence trail.

05
Narrative Arc

Logical career progression versus opportunistic keyword accumulation. Real seniority leaves a coherent arc. Fabrication leaves a portfolio of trends.

06
Linguistic Register

Vocabulary consistency with claimed seniority. AI-assisted authoring produces uniformity across years and roles that genuine experience does not.

07
Constraint Presence

Evidence of tradeoffs, resource limits, and failure modes. Real engineers have scars. Fabricated experience does not account for them.

What AI-generated resumes actually look like.
Vocabulary Uniformity

Suspiciously consistent formal register across roles and years. Genuine career documents accumulate stylistic drift. AI-assisted ones don't.

Metric Orphaning

Precise impact numbers lacking causation, attribution, or context. "Reduced latency 40%" with no baseline, method, or measurement owner.

Ownership Diffusion

Vague ownership language without org structure, decision authority, or accountability evidence. "Led" is not evidence.

Stack Parallelism

Identical claimed depth across multiple disparate technologies. Genuine mastery produces depth inequality. Fabrication produces a flat list.

Temporal Compression

Too much claimed within too short a window. Senior IC growth has recognizable pacing. Fabricated experience ignores it.

Three steps. One decision.
01
Paste Experience Claims

Drop resume text, LinkedIn summary, or raw experience claims into the Career X-Ray tool. No account required. Add a JD for deeper role-specific analysis.

02
Seven-Dimension Analysis

Claims are evaluated across all seven dimensions simultaneously, cross-referenced for internal consistency, AI fabrication patterns, and JD alignment.

03
Examiner's Assessment

Receive a Provenance Score™, fabrication flags, and targeted validation probes derived from the actual resume. Full reports are human-reviewed.

Every full report is reviewed by an examiner. This is not an automated recommendation.

Hiring systems were built for a world where resumes were difficult to fabricate.

That world no longer exists.

AI can generate convincing histories, metrics, portfolios, and technical narratives at scale. A fabricated Staff Engineer resume is now indistinguishable from a real one — to a recruiter, a hiring manager, and most interview panels.

TechCredalyst was built to validate experience before it becomes a hiring decision.

CTOs and VPs of Engineering who can't afford to get this wrong.

At Staff+ and Principal IC level, one misrepresented hire doesn't just cost salary. It costs team credibility, architectural decisions, and 12–18 months of compounding damage before anyone names what happened.

TechCredalyst is not a background check. It's a provenance system — the methodology of art authentication applied to engineering experience.

  • Hiring for Staff Engineer, Principal IC, or Engineering Leadership roles
  • Operating in a market where AI-generated resumes look indistinguishable from real experience
  • You've made hires whose claimed seniority didn't survive the first quarter
  • Responsible for hiring decisions without a dedicated technical sourcing function
  • Building a team where architectural judgment and ownership culture are non-negotiable
What We Receive

Experience claims, resume text, or LinkedIn summaries submitted for analysis. No candidate PII is required to run an assessment.

How It's Processed

Input is analyzed against the seven-dimension framework. No data is stored, sold, or used for model training. Analysis is session-scoped.

Human Review

Full Examiner's Assessment reports are human-reviewed before delivery. Final assessment is professional judgment, not automated output.

AI Use Disclosure

AI is used as a private signal-surfacing tool within the examiner's workflow. All conclusions reflect human professional judgment.

Case File 001 · Ownership Fabrication

Claim
Principal Engineer

14 years experience. Led Kubernetes migration for 200-node cluster. Claimed Staff-level IC ownership across three companies.

Signals Detected

Ownership Diffusion: "led" 11× without headcount or decision authority context

Temporal Compression: Staff-level progression claimed within 22-month window

Stack Parallelism: 9 domains at equivalent depth, no specialisation signal

Outcome

Follow-up validation revealed insufficient evidence supporting the claimed ownership scope. Probes exposed significant gaps between stated decision-making authority and demonstrated depth.

Hiring team avoided a $240,000 mistake before extending an offer.

All candidate details anonymised. Case based on real provenance assessment pattern.

Case File 002 · Attribution Mismatch

Claim
Principal Architect

9 years experience. Led full cloud transformation for a 400-person engineering org. Claimed sole architectural ownership of multi-region migration. Strong technical interview performance.

Signals Detected

Metric Orphaning: "Reduced cloud spend by 42%" — no baseline, measurement owner, or cost-attribution method provided

Ownership Diffusion: Claimed sole architectural ownership across a team later verified at 14 engineers

Constraint Presence: Zero tradeoff, failure, or rollback instances in a 2-year migration narrative

Outcome

Interview performance was strong. Technical vocabulary was accurate. Validation probes on cost attribution and rollback decision-making revealed the candidate had contributed to — but not owned — the migration architecture.

Role would have given sole architectural authority over a greenfield platform. Hiring team validated scope before offer.

All candidate details anonymised. Case based on real provenance assessment pattern.

Strong interview performance is not a provenance signal. It is a capability signal. These are not the same thing.

A Provenance Assessment is not a background check. It evaluates the credibility, coherence, and ownership evidence behind claimed experience.

Every Examiner's Assessment produces five structured deliverables. Each targets a different layer of the provenance question.

Deliverable Purpose

Provenance Score™

Overall fabrication risk indicator — 0 to 100, with tier classification

Seven-Dimension Breakdown

Signal-level analysis across all seven forensic dimensions with scored notes

Fabrication Flag Report

Identified inconsistencies with evidence — what triggered each flag and why

Validation Probe Pack

Interview questions tailored to the specific claims, signals, and risk patterns detected

Executive Recommendation

Proceed / Validate Further / High Risk — with examiner rationale. Human judgment, not automated output.

Delivered within 48 hours. Every assessment reviewed by a human examiner before delivery.

Provenance Score™ (0–100)

Seven-Dimension Fabrication Analysis

Fabrication Signal Flags

Role-Specific Validation Probes (email required)

No account required. Instant output.

Beta Pilot Program — Limited Capacity

Human-reviewed Provenance Analysis

Deep Fabrication Signal Report

Targeted Validation Probe Pack

Executive Hiring Recommendation

Delivered within 48 hours

Every Assessment is reviewed by a human before delivery. This is not an automated recommendation.

↓ VIEW SAMPLE EXAMINER'S ASSESSMENT (PDF)

You are making a hiring decision
based on claimed experience.

Some experience gaps only become visible after the hire.

Validate before you proceed with the hire. Because you will not get a second decision on this hire.