0 — ORIGINS

1 — Capture

AI work gets captured automatically.

No behavior change. With consent, ValueSignal turns everyday AI conversations into durable, owned artifacts.

Conversation (normal AI work)

Write a cleaner version of this job description and highlight must-have skills.

Sure. I'll extract responsibilities, rewrite for clarity, then list must-have skills and screening questions.

Now turn it into a structured hiring rubric with scoring guidelines.

Done. I'll produce criteria, scoring bands, and example evidence for each score.

Source: Chat session Captured ✓

Extension capture panel

Session detected Active

Artifact typeHiring rubric

Signals inferredStructure • Clarity • Judgment

Key point: capture happens in the background. User stays in flow — ValueSignal generates the evidence trail.

2 — Skill Graph

Conversations become a living skill graph.

Instead of claims, we visualize behavior over time: what you practiced, how you improved, and what evidence supports it.

Skill graph (illustrative)

Growth

Emerging

Core

What's new: a recruiter (or teammate) sees why a score exists — linked to artifacts, not vibes.

Signal snapshots

Systems thinking↑ 12%

Communication clarity↑ 9%

Prompt iteration skill↑ 18%

Decision quality↑ 7%

This is like GitHub commits — but for thinking, judgment, and learning velocity.

3 — Skill Ledger

Evidence-first profile, not a résumé.

A skill ledger that ties claims to artifacts: prompts, iterations, and outcomes — owned by the user.

Profile (illustrative)

Ken Garrow
AI-native product & analytics builder
Strengths: Structured thinking • Prompt craftsmanship • Systems design

Top artifacts12

Verified sessions34

ConsistencyHigh

Growth velocityStrong

Artifacts (clickable in real product)

Hiring rubric: SDR roleEvidence

SQL pipeline refactor planEvidence

Architecture decision recordEvidence

Customer KPI taxonomyEvidence

Key shift: the profile is a map of real work — not self-description.

4 — Recruiter Lens

Same data. A trust contract for hiring.

Recruiters don't need more "scores." They need provenance: what happened, when, and what it demonstrates.

Recruiter snapshot

Role fitStrong

Proof densityHigh

CommunicationClear

AI leverageAdvanced

What they can do: open artifacts, see iteration quality, validate skills without invasive testing.

Red flags (honest signal)

Copy-paste patternsLow

Single-shot promptingMedium

Inconsistent topicsNormal

Missing provenanceSome

Important: we don't "grade people." We expose evidence so hiring decisions are defensible.

5 — Privacy

Private by default. User-owned signal.

This only works if people trust it. The user controls what gets captured, what's shared, and with whom.

Controls

Capture sessions On

Auto-redact secrets On

Share with recruiters Opt-in

Export artifactsAlways

Trust stance: ValueSignal doesn't work unless the user can say "no" — and still benefit.

Bridge to live demo

Let's jump into the real app.

Live capture → artifact → graph update.

Press →to finish