Donald B. Havery

Intelligence Manager

Donald B. Havery

INTELLIGENCE MANAGER

Donald B. Havery, Intelligence Manager

Covers the roles companies post as AI Operations, Head of AI, AI Platform and FinOps, Forward Deployed Engineering, AI Transformation and AI Governance. Live sites and source code below.

What I do as an Intelligence Manager.

Own the AI spend
One person answers for the whole AI budget.
Find where it pays
Tie each AI use to a result. Cut what does not pay.
Split the work
Decide with the team what goes to a model, to software or to a person.
Lower the cost
Smallest model that passes its tests, cached repeats, hard spend limits.
Build the agents
Connected to company systems, with human approval where the risk is.
Report in numbers
Cost per result that a finance team can check.

Job titles this role covers

  • AI Operations
  • Head of AI
  • AI Platform and FinOps
  • Forward Deployed Engineering
  • AI Transformation
  • AI Governance

Full role →

Why hire me.

Done for my own businesses since 2023. I build the systems and own the results.

3 → 0wrong answers on a 71-question test of the live agent
21 of 23handoffs were policy the business had not decided
103scenarios in the release test. The build fails if answer quality drops.
96.5%of input served from the prompt cache
Cost limits in production
  • Output-token cap
  • Chat-history cap
  • 8-step limit per run
  • Per-visitor and daily call limits
  • Cost ceiling per run
  • Off switch
  • Cheaper model only after it passes calibration

All results →

Work.

Live

Repositories

  1. LLM gateway LLM gateway with provider failover Fails over between model providers, with circuit breakers and a response cache. publicMITCIPython
  2. Release gate for LLM and RAG output Evaluation gate that exits non-zero on regression Fails the build when LLM or RAG output gets worse. publicMITCIoffline
  3. Agent orchestration Agent loop with failure handling Tool calls with retries, watchdogs, and cost and step ceilings. publicMITCIoffline
  4. Security and governance Policy control evidence mapping Matches each control to its evidence. The reviewer decides. publicCIPython

All work →

Skills.

AI operations

  • Spend and token analysis
  • Cost per result
  • Model selection
  • Routing and caching
  • Local open models
  • Vendor and pricing models
  • ROI reporting

Agents in production

  • Tool calling
  • Model Context Protocol
  • Multi-step agent loops
  • Human handoff with a reason
  • Guardrails
  • Cost and step ceilings
  • Kill switches

Evaluation and governance

  • Fixed test sets
  • Regression gates in CI
  • Calibrated LLM judges
  • Retrieval and citation checks
  • Audit logs
  • License and data controls

Engineering

  • Python
  • TypeScript
  • SQL
  • Rust
  • Next.js
  • React
  • FastAPI
  • Postgres
  • SQLite
  • Redis
  • Docker
  • Vercel
  • GitHub Actions
  • Claude
  • Ollama
  • Claude Code

Experience.

  1. Founder, independent AI practice and angrynirds

    2023 to present.

    Own the AI budget, the model choices, the builds and the results for my businesses. Cost limits in production, the cheapest model path that passes its tests, reason-coded handoffs to a person, and release gates that fail on regression.

    • Builds the systems in Python and TypeScript with Claude Code, from plan to verified release.
  2. Founder and owner-operator, small businesses

    2017 to present, alongside full-time work.

    Businesses run end to end with full profit-and-loss responsibility: a direct-to-consumer grooming brand (2017 to 2021), a fuel-delivery operations platform (pre-launch), and Trucking Tutor, a CDL course.

  3. Line-haul driver, Old Dominion Freight Line

    2022 to present.

    Class A CDL with hazmat, tanker and triples endorsements, in an operation run on dispatch and federal hours-of-service limits.

  4. Line driver and driver trainer, Peninsula Truck Lines

    2017 to 2021.

    Company-certified driver trainer with authority to sign off new operators to drive unsupervised.

  5. Fuel tanker driver, Alpha Transport

    2012 to 2017.

    Hazmat, tanker and oversized loads across Western US routes under FMCSA rules.

Full experience →

Education and continuous AI learning.

All credentials →

AVAILABLE FOR SENIOR AI ROLES.

Intelligence Manager, AI operations and senior AI roles. Portland, OR Metro Area. Remote or hybrid.

Or email directly: dbhavery@gmail.com