Proof, permissions, memory, and controls

Trust is the product layer AI systems cannot fake.

TrustCreds shows how proof, ownership, and verification can restore signal in hiring. The Nano-Agent Platform shows how agents can run inside governed workflows with memory, routing, DLP, budgets, and auditability.

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TrustCreds architecture

Portfolio proof

Built systems behind the pattern.

Live product surface

TrustCreds

Candidate-owned proof and hiring trust

A trust layer where candidates own and share proof of real work, credentials, and readiness before the first conversation.

Operating problem

Restore hiring signal when AI-generated applications make resumes easier to create and harder to trust.

Next.jsRBACSSO/MFAAI Evaluators

Next.js application architecture with RBAC, SSO/MFA paths, artifact storage, evaluator workers, and verification workflows.

Candidate-owned proof profiles

Employer access and screening workflows

Responsible AI posture for high-stakes hiring decisions

CandidatesEmployersHiring founders

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Platform foundation

Nano-Agent Platform

Governed agent runtime

A reusable agent foundation for deterministic orchestration, memory, provider routing, calibration, DLP, and observable execution.

Operating problem

Use AI agents inside controlled workflows with memory, routing, budgets, DLP, and auditability instead of loose chatbot behavior.

AgentsMemoryDLPProvider Routing

FastAPI orchestrator, schema validation, semantic memory, provider routing, budget controls, DLP redaction, and audit metrics.

Schema-governed agent execution

Memory, calibration, and provider routing

DLP, budgets, audit logs, and operating metrics

FoundersEngineering leadersOperations teams

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Why it is different

Architecture before automation.

Agents are only useful when they are governable. Identity, permissions, memory, calibration, and audit logs are treated as core product architecture, not afterthoughts.

Explainable outputs

Governed workflows

Client-owned IP

Bring the problem. Leave with a system sketch.

A 45-minute working session with the architect to map the opportunity, architecture constraints, and first production increment.

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