AI systems engineering lab

Intelligence,
with structure.

AXIOM designs agent runtimes, policy enforcement, retrieval infrastructure, and operational tooling for bounded, inspectable model-driven execution.

System architecture Engineering engagements

Core architecture

Policy, execution, and context are separated by design.

ASON evaluates submitted plans against policy. APEX validates and executes accepted sequences. RAG provides retrieval and storage through explicit interfaces.

01 / Policy

ASON

Evaluates submitted plans against caller-supplied policy before any sequence is submitted for execution.

02 / Runtime

APEX

Validates, records, and executes accepted tool sequences within configured runtime limits.

03 / Context

RAG

Provides retrieval and storage through library and versioned HTTP interfaces.

Complete system architecture

Implementation evidence

Validation, recovery, and provenance are first-order engineering requirements.

Durable executionAPEXPlan identity, effect states, recovery, and replay Retrieval durabilityRAGSingle-owner storage, journaled replacement, and namespace identity Research recordArtifactsFalsifiable programs, architecture decisions, and explicit limits

Engineering lead

Adam Tacon — AI Systems Engineer.

AXIOM's repository record demonstrates end-to-end engineering across agent runtimes, policy enforcement, retrieval durability, operational orchestration, Unix automation, APIs, infrastructure, applied AI, and source-grounded research.

Systems engineeringArchitecture → validationExplicit interfaces, durable state, failure semantics, recovery, security boundaries, and reproducible integration. Shipped systemsRuntime portfolioAPEX, ASON, RAG, API, Infra, Ops, applied demos, and deterministic automation across public repositories. Technical researchEvidence → implementationExecution safety, crash consistency, architecture governance, recursive systems, control loops, and reproducible evaluation.

Engineering principle

Probabilistic reasoning.
Deterministic control.

Model output is treated as a proposal. Typed interfaces, policy checks, explicit state transitions, and bounded runtimes govern accepted actions, record effects, and constrain recovery.

Engineering principles and methods

Engagements

Complex AI systems require precise engineering.

AXIOM undertakes architecture, implementation, validation, and research engagements where model behavior intersects with consequential software, data, and external effects.

Discuss an engagement

Intelligence, with structure.