Make Sense of the Noise. Make Moves with Precision.
I help founders and operators cut through the chaos of AI acceleration.
Map what matters, structure what works, and build systems that learn over time.
AI Sensemaking
Clarity Over Chaos
“I don’t start with use cases. I start with leverage.”
AI Sensemaking is how I help founders and teams step back, see the system, and design workflows that get smarter over time — not more chaotic.
Together, we define the right signals, pressure-test what’s working, and build AI capabilities that compound — not overwhelm.
Whether you’re scaling content, deploying agents, or rethinking workflows, I bring structure to the noise so your team can move with precision.
Core Frameworks
Named systems that bring structure to complexity
Signal Stack
A four-layer model that classifies AI inputs by value, trust, and leverage — helping you cut through the noise.
Prompt Delta QA
A scoring system for diagnosing weak points in AI-generated content — and improving output without guesswork.
Feedback Loop Engine
A closed-loop architecture that connects usage, performance, and revision — so your AI system gets smarter over time.
Capability Fit Matrix
A decision tool for evaluating new AI capabilities — from copilots to retrieval systems — based on workflow impact and strategic fit.
AI Sensemaking in Practice
From signal clarity to systems that learn — this is how I help you operationalize leverage.
Most teams don’t need more tools. They need a system to interpret what's worth integrating — and the scaffolding to make it work. These five capabilities are where I start when building an AI sensemaking foundation that scales.
Stack Mapping
A diagnostic teardown of your AI exposure — prompts, tools, and decision bottlenecks — turned into a visual system map.
Signal Sorting
A filter to separate hype from leverage. I define the signals worth tracking — and design workflows around them.
Prompt System Design
I build modular prompt scaffolds tied to brand tone, task specificity, and performance feedback — not one-offs.
Feedback Loop Engineering
Every output is an input. I wire up systems that learn — tying outputs to performance and routing revisions with purpose.
Capability Blueprinting
I evaluate emerging tools — copilots, agents, retrieval, fine-tuning — against strategic fit, not just novelty.
Why Clients Hire Me for AI Sensemaking
You don’t need another AI tool. You need strategic clarity, system-level thinking, and outcomes that scale.
- You're experimenting with AI, but nothing feels connected, cohesive, or strategically grounded.
- You're being asked to "do something with AI" — but don't know where it creates real leverage.
- You’re generating content, but lack feedback systems to measure, refine, or justify it.
- Your workflows are cluttered with tools that don’t talk to each other — and don’t learn over time.
- You want to move fast, but not waste cycles on things that won’t compound.