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 13
The open frontier arrived priced like the closed one: Kimi K3 hit #4 on the independent index and #1 on a flagship arena at $3/$15 — while TSMC, PJM, and a first-ever state moratorium confirmed the constraints have moved fully downstream of silicon.
Model layer
The Model Pulse
For architects tracking model capability shifts.
Latest / Issue 13
The 'cheap Chinese open model' era ended in one launch: Kimi K3 topped an LMArena flagship board, priced itself at Claude Sonnet parity — and shipped without weights. Meanwhile the largest US-origin open-weights model actually landed, and OpenAI showed what it keeps for itself.
Operating layer
Agent Techniques Weekly
For builders operationalizing agentic work.
Latest / Issue 13
Autonomy got longer and the leash got shorter: a 2.8T model demoed a 48-hour unattended run the same week the leading harness shipped hard per-session budgets for searches and subagents.
Procurement surface
The Application Layer
For buyers watching AI reshape software.
Latest / Issue 12
Outcome pricing goes GA and the data cloud gets a $188B endorsement: the week the agentic business model stopped being an experiment
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.