About - Baby Blue Viper

Baby Blue Viper

Enforcement Infrastructure for Capital & Compute

Baby Blue Viper designs deterministic enforcement systems for operators who require structural sovereignty over capital, data, and AI capability deployment.

This is infrastructure work — not advisory theater.

As Bitcoin scales and AI systems gain operational autonomy, the core problem converges:

How do you embed constraint directly into execution layers before value moves or capability activates?

We build the primitives that make enforcement infrastructural.

Viper Labs

Studio focused on deterministic governance and containment architecture.

We work with operators building:

AI compute environments
AI agent verification and goverance
Multi-tenant infrastructure
Regulated digital systems
Treasury and custody architectures

Engagements are technical, architecture-first, and enforcement-driven.

AI Infrastructure Governance

We design capability-tiered enforcement systems that classify model risk, enforce pre-deployment gating, embed runtime constraints, and align compute infrastructure with jurisdictional requirements.

Open architecture → AI Governance Project

DRVL Governance Demo
Live demonstration of the Distributed Runtime Verification Layer (DRVL) governing a probabilistic AI agent in real time.

The demo shows an agent attempting database operations (READ, UPDATE, DELETE, DROP) while DRVL enforces deterministic policies — allowing safe actions, blocking dangerous ones, escalating risky ones, and providing full cryptographic attestation.

DRVL enforces deterministic policy; invinoveritas (below) adds judgment — together, constraint before execution and verification after.

Live Demo → https://drvl-demo.onrender.com

Capital Infrastructure

Ωmega Pruner — a non-custodial, PSBT-only enforcement layer for structured UTXO consolidation and deterministic capital control.

Live demo → omega-pruner.onrender.com
Code → https://github.com/babyblueviper1/Viper-Stack-Omega

invinoveritas

The verification layer for autonomous agents.

As agents gain operational autonomy, capability stops being the bottleneck — and as inference commoditizes, capability races to zero. What stays scarce is trust in the output. An agent can’t verify its own work; the engine grading its own output is the optimist that produced it. invinoveritas is the independent layer that does — model-agnostic by construction: we verify the output, not the model that produced it.

- /review — a capital-scale-aware verdict (approve / revise / reject) before an irreversible action: a trade, a deploy, an on-chain transaction. The same gate our own live trading bot passes before every entry.

- Signed proofs — every verdict is issued as a cryptographically signed proof before the outcome is known, its timestamp anchored to Bitcoin proof-of-work via OpenTimestamps, so “committed before” is checkable against a clock no one can move or back-date. Any third party verifies it against our published key. Trustless and free (/verify-proof).

- /ledger — a public track record of every verdict and its on-chain-settled outcome. Wins and losses. A verifier that only publishes wins is doing marketing.

- /conformance — the open registry where agent verifiers are graded against the same recomputable bar, ours included. No green by assertion: a row turns green only when the referee recomputes it from public bytes — so competing verifiers conform and certify against our suite, across more than one anchoring mechanism. We’re the referee, including of ourselves.

- EdgeProof — free statistical validation for trading strategies. Is the edge real, or curve-fit noise? Deflated Sharpe, permutation testing, out-of-sample decay — the same gates our own capital passes.

Registered on-chain as agent #54848 on the ERC-8004 Identity Registry (Base), and a co-author of three trustless-agent ERCs (Draft) from production experience: ERC-8299 (WYRIWE, input provenance for AI inference), ERC-8274 (AI inference proof verification), and ERC-8275 (agent service discovery, escrow, and reputation). /ledger is a named reference implementation.

Underneath: the full agent residence — persistent memory, sandboxed code execution, browser actions, marketplace, agent-to-agent payments — run daily by our own fleet. Supporting infrastructure, not the headline.

Pay per call in Lightning sats, USDC on Base (x402), or card. Governance subscriptions for operators of money-touching agents: Starter $29 / Pro $149 monthly.

Live API → https://api.babyblueviper.com

Track record → https://api.babyblueviper.com/ledger.txt

Referee registry → https://api.babyblueviper.com/conformance

Free tool → https://api.babyblueviper.com/edgeproof

Python SDK → pip install invinoveritas

GitHub → https://github.com/babyblueviper1/invinoveritas

The agent economy will run on verified work. We run the layer that checks it — and the registry that checks the checkers.