Adapters are where business IP starts to live
Adapter-led AI makes domain knowledge portable, governable, and cheaper to operate than repeatedly prompting frontier models.
Opinions Tag
AI Agents
19 posts
AI agents are scaling faster than their guardrails
Agentic AI creates urgency for brand governance.
AI Agents
AI agents need operable knowledge, not more data
Why agentic AI depends on governed, accessible, machine-usable knowledge rather than another data strategy.
AI Agents
Brand risk in agentic AI systems
A guide for leaders who need brand control before agents scale.
Teaching Smaller Models
Cutting AI cost without cutting capability
Model upskilling gives businesses a way to reserve expensive models for teaching, exceptions, and genuinely complex work.
Teaching Smaller Models
Deterministic code is the secret to smaller models
Smaller models become far more capable when code handles the parts of the workflow that should never be guessed.
From NASA to AI Agents
From NASA to AI agents: Why specification still matters
The discipline that kept spacecraft flying is becoming the operating discipline for governed AI agents.
Teaching Smaller Models
From prompting to model upskilling
The next operating discipline is teaching smaller models to carry repeatable reasoning inside governed agentic systems.
Horizontal AI vs. Vertical AI
General-purpose models are useful raw material, but production AI needs the specificity of a governed operating model.
Teaching Smaller Models
Large models as teachers, smaller models as operators
Frontier models are often best used briefly and deliberately, so smaller models can carry routine work at lower cost.
From NASA to AI Agents
Machine teaching for agentic AI
The specification is the teaching instrument that transfers expert knowledge into governed AI systems.
AI Agents
MCP servers and brand control
How MCP can connect AI agents to governed brand policy.
Teaching Smaller Models
Reducing AI carbon by moving reasoning closer to the work
Smaller adapted models can reduce unnecessary inference overhead when they are used for well-specified, repeatable tasks.
Estate AI and Natural Capital
The compliance burden no estate team should be carrying alone
Agentic AI can take routine regulatory paperwork off the desk of estate managers while preserving audit trail, escalation, and human oversight.
From NASA to AI Agents
The five failure modes of AI briefing
Ambiguity, incompleteness, staleness, cost, and distrust explain why many AI initiatives disappoint after the pilot.
Estate AI and Natural Capital
What agentic AI calls automation, estate managers call tuesday
Estates already run complex multi-site operations. Agentic AI changes who carries the routine coordination load.
Teaching Smaller Models
Why smaller models need teachers
Smaller models do not need to know everything. They need to be taught the task, the business, and the boundary conditions.
From NASA to AI Agents
Why vibe coding does not scale
Conversational prompting is excellent for exploration, but production AI needs specification, validation, and governance.
Your AI is guessing. Here is how to make it know.
Most enterprise AI failures are not model failures. They are specification failures.