Global scale
I run AI where trust, adoption, and economics all matter.
Five concurrent enterprise programs, a $30M portfolio, 120+ contributors, and CEO-active platforms across a global public company.
D. Brian Letort, Ph.D.
AI strategy for people who have to operate it.
I write about the systems layer of enterprise AI: the models, data foundations, agentic workflows, economics, governance, and operating patterns that turn experiments into durable capability.
- Global enterprise AI operator
- $30M AI and data portfolio
- Hands-on builder and coder
- AI industry intelligence
- PhD-level teaching
- 1,000+ member AI community
- 5 U.S. Patents
- Context Compilation trilogy
- 16 Pluralsight courses
- 2 books
Follow the operating layer
Board-ready AI strategy, operator-grade technical depth, and weekly signal from the AI market.
Start reading
What to read next.
Industry intelligence
AI market signal, organized weekly.
Cross-stack flywheel
AI Stack Weekly
For officers tracking AI market movement.
Latest / Issue 12
The harness became the product: OpenAI and Anthropic shipped rival work runtimes 48 hours apart — while memory and power marked the scarcity trade to market with $26.5B of real money.
Model layer
The Model Pulse
For architects tracking model capability shifts.
Latest / Issue 12
Four frontier releases in four days — and the week's real lesson came from the community: Hy3 went from Apache-2.0 drop to local deployment in 30 hours, while Databricks proved the harness now matters more than the model.
Operating layer
Agent Techniques Weekly
For builders operationalizing agentic work.
Latest / Issue 12
The harness beat the model: two hard benchmarks proved the wrapper drives cost and much of quality — the same week the labs bundled their harnesses into suite defaults.
Procurement surface
The Application Layer
For buyers watching AI reshape software.
Latest / Issue 11
The 48-hour harness war: the agent runtime — not the chat subscription — is now the unit of enterprise procurement
Research
Context Compilation Theory.
A foundational paper and three-paper trilogy on the systems layer between retrieval and reasoning — the governed, measurable, optimizable layer where reliability lives, where provenance is enforced, and where token economics becomes a design surface rather than an accounting line.
Why trust the signal
Strategic altitude. Technical depth. Global scale.
Technical depth
I can move from boardroom framing to code-level architecture.
Data, data science, machine learning, software engineering, agents, RAG, model routing, evals, and the operating layer between them.
Public body of work
I write, teach, publish, and build in the open.
A Context Compilation research program, PhD teaching, 16 Pluralsight courses, two books, and a weekly AI industry corpus.
Where to go next
Choose your path.
Speaking and executive briefings
I accept a small number of speaking, board, press, and executive briefing requests each year.