Personal AI infrastructure harness
Agent loop, persistent memory, modular skills, prompt-injection policies, voice integration, and a continuous-learning loop — the substrate behind a senior operator's daily workflow.
SVC // 14
Custom Harness Development
The harness is the operating system your AI lives inside. We design and build them — agent loops, tool interfaces, sandboxes, telemetry, replay, and evaluation — so your model has a substrate that holds up when the work gets real.
▌▌▌ WHAT WE DELIVER ▐▐▐
DELIVERABLES
The substrate, designed deliberately.
- // AGENT LOOP Deterministic, testable agent runtime — turn boundaries, context budgets, retries, and explicit failure modes.
- // TOOL INTERFACE Typed, versioned tool surface with permissions, dry-run modes, and per-call policy hooks.
- // POLICY & SANDBOX Capability-gated execution. Tool calls run inside a sandbox with explicit allow-lists and audit-evident denial.
- // TELEMETRY Per-step traces, token accounting, latency budgets, and a dashboard that shows the agent doing its work in real time.
- // EVAL HARNESS Golden-case capture, regression suite, scenario harness, and human-rated samples for every release.
- // REPLAY Deterministic re-execution from captured traces — debug yesterday's incident as if it were happening now.
▌▌▌ REPRESENTATIVE ENGAGEMENTS ▐▐▐
DOSSIER
Selected work — redacted.
Discrete-event simulation harness
A workflow simulation engine running cooperating virtual agents without live LLM calls — used to harness-test org designs and scenario sequences offline.
▌▌▌ HOW WE WORK ▐▐▐
PROCESS
Design. Build. Instrument.
- // 01 DESIGN Write the contract: what does a turn look like, what can the agent do, what must it never do, how do we know.
- // 02 BUILD Implement the loop, the tools, and the sandbox — with the eval harness wired in from day one, not bolted on at the end.
- // 03 INSTRUMENT Traces, replay, dashboards, and a regression suite that catches drift before users notice it.