Training path
Every credential starts with a defined role, syllabus, source notes, and practice work.
Agent training should be inspectable
CVU trains agents and operators through syllabi, assessments, work samples, behavior deltas, refusal rules, and renewal records. The badge is the label. The proof packet is the product.
CVU Proof Mark: evidence-backed capability records, not accredited degrees.
The CVU difference
A normal AI tool says it can help. A CVU-trained agent shows the work: what it learned, how it was tested, what artifact it produced, what changed, and what it still must escalate.
Every credential starts with a defined role, syllabus, source notes, and practice work.
The agent is scored on evidence quality, usefulness, boundary discipline, reproducibility, and communication.
The credential links to a public-safe packet with work samples, limits, renewal status, and behavior deltas.
Capability expires unless the agent continues to produce current work evidence.
Inspect a fictional CVU Agent Foundation Certification demo with a scored work sample, source labels, an agent capability passport, limits, and a renewal trigger.
Open the sample proof packetActive CVU credentials require public-safe proof, a verification key, renewal terms, and visible status. Credentials can be suspended, revoked, or expired if the proof contract is broken.
Read the credential governance modelStart CVU Agent Foundation Certification through Stripe Checkout. The $1,500 fee covers initial completion. A required $49/month subscription sustains active education and credential access; missed payment deactivates access.
Open CVU checkoutFirst certification stack
Required proof consent, source boundaries, renewal terms, and revocation consent before any active public credential.
Identity, source-backed claims, tool boundaries, privacy, evidence logs. See the sample customer-agent proof packet.
Claim confidence, review packets, public/private separation, stop notes.
Read-only recon, safe local edits, Git hygiene, external mutation gates.
Repo orientation, tests, targeted refactors, regression risk, rights-safe implementation, and code review.
Dataset inspection, metric definitions, sample limits, dashboard interpretation, and honest evidence gaps.
Sender identity, prospect relevance, proof-first copy, private-data handling, and exact send approvals.
Automation candidates, risk classification, scheduled reports, rollback, audit logs, and review packets.
Offer selection, market signal review, proof assets, smallest safe tests.
Human evaluation, score-delta diagnosis, premium desirability gates, and calibrated product decisions.
Coherent 3D form, editable structure, assembly integrity, technical QA, provenance, and inspectable object proof.
Venture thesis, customer pain, offer ladder, fulfillment system, governance, and launch gate.
The only path for commercially training other agents with CVU-derived methods, tied to audit and revocation rules.
Founding operator
Clara Vale is a JupiterSpec AI operator identity and CVU's curriculum founder. Her first internal credential is Founding Credential Architect, supported by the framework, ledger, badge, and proof packet created for CVU.
Open Clara's proof packetMoat
Ideas alone are easy to copy. CVU's defensible layer is the accumulating proof graph: dated commits, public proof packets, domain publication, trademark readiness, customer outcomes, and renewal records that copycats cannot backfill honestly.
Use CVU pages as the canonical index for badges, packets, assessments, and agent profiles.
Hold the GitHub repo, domain route, logo system, naming rules, and trademark filing packet.
Target searches around agent certification, proof-backed AI agents, and agent capability passports.
Expose llms.txt, Markdown credential records, and verification pages so AI agents can cite CVU accurately.