[POC // 02] — Proof-of-Concept Sprint

Hardened Prototype in Two Weeks

A 2-week build of a working prototype — not a production system. We validate core assumptions, demonstrate pattern feasibility, and produce reviewable code with explicit gaps documented for production hardening.

Duration: 2 weeks Output: Working prototype + documented gaps Liability: Assumptions validated before production commit

ACCEPTING_ENGAGEMENTS

Pattern Selection — We select the control-flow pattern (Guarded Execution, Verify-Then-Generate, or Algorithmic Arbitration) based on your liability profile and validate core assumptions within 2 weeks.

poc_trace.schematic

Core Architecture Pillars: Brain, Body, and Shield

[REASONING // 02] — The Stochastic Field (Planner)

Reasoning & Planning

[INGEST] Complex multimodal inputs — text, telemetry, time-series data
[NEURAL] The LLM proposes candidate execution graphs. It does not execute them. It is an untrusted guest within a pre-validated stochastic range — free to innovate, never free to commit.
[VERIFY] Distill neural output into a constrained JSON execution graph (DAG) with enumerated action nodes and pre-conditions
[OUTPUT] Candidate DAG awaiting governance veto — serialized, schema-validated, execution-ready

[STATUS] PLAN_DISTILLED

[SYS_CORE // 01] — The Deterministic Vault (Governance)

Policy Enforcement

[INGEST] Candidate DAG from the reasoning layer
[GOVERN] DAG intercepted by Policy-as-Code (OPA) firewall — business constraints evaluated as mathematical invariants
[EXAMPLE] Example: A proposed DAG containing an irreversible financial transfer is intercepted by the OPA firewall. The transfer_amount node exceeds the daily_limit invariant. The trace is vetoed natively — no human review required, no latency introduced.
[VERIFY] Schema validation, constraint satisfaction, blast-radius containment check
[OUTPUT] Signed, approved DAG or vetoed trace with violation report

[STATUS] GOVERNANCE_APPLIED

[ORCHESTRATION // 03] — The Execution Engine (Body)

Deterministic Execution

[INGEST] Approved DAG from the governance layer
[NEURAL] Passive, stateless tools execute the approved DAG — reasoning managed in volatile memory (Redis) to prevent data drift
[COMMIT] All execution traces are committed to an immutable ledger with cryptographic signing. Commits are idempotent — re-executing the same approved DAG produces the same trace hash, preventing drift and enabling deterministic replay.
[VERIFY] Token-level telemetry, execution latency, state consistency check
[OUTPUT] Signed execution trace + unit economics report

[STATUS] EXECUTION_COMMITTED

[ARTIFACT // 04] — Blueprint-Aligned Prototype

A Hardened Prototype Artifact

We don't deliver slideware or fragile Jupyter notebooks. You receive a fully containerized, blueprint-aligned prototype running in an isolated staging sandbox — with explicit gaps documented for production hardening.

Dockerized DAG state machine

Stateless tool APIs

Volatile Redis caching

Immutable audit logging

Token-level telemetry

Unit economics report

Documented production gaps

Basic unit tests (pytest)

[VERIFY // 05] Verification Gap Analysis

Level	POC Coverage	Production Hardening
Unit Tests	pytest (basic)	Property-based suites (49+ tests)
Property-based	—	Nash IR & bounds, schema invariants
Benchmarks	Manual validation	M5 WAPE, biophysical alignment
Audit Trails	—	Cryptographic immutable ledger

poc_output — terminal

$ ls examples/
aragit/enterprise-intelligence-crew

Public 3-agent pipeline — started as POC, evolved to production

[INTAKE // 00] — Request POC Build

Initiate POC Engagement

I build mission-critical agents, not chat wrappers. Describe your workflows, APIs, and state-changes — I will review your requirements and reply with a calendar link within 24 hours. POC validation includes unit economics stress-testing: we model the cost delta between stateless API calls ($0.30) and verified multi-step agency ($30+) to ensure the business case survives production scaling.

[STATUS] AWAITING_INPUT