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Essays on AI systems, software delivery, and product strategy from the BFD team.

Recent writing

A large crowd of small hands passing coins toward a single distant figure standing on a podium, with a balance scale positioned between the crowd and the figure
applied ai June 24, 2026 4 min read

When the crowd is the underwriter: applied AI for funding outcomes you can't see yet

Crowd-funded outcome markets ask strangers to bet on a future that hasn't happened. That makes trust, fraud, and incentive design the whole product. Applied AI helps, but only if you point it at the expensive judgment and keep humans on the costly calls.

In markets where crowds fund uncertain outcomes, trust is the product. Here's where applied AI actually earns its place, and a two-day way to start.

Keith Pattison, Founder of Black Flag Design

Keith Pattison

AI Builder @ Black Flag Design

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The Draft Isn't the Close: Applied AI in B2B Sales Enablement editorial image
sales enablement June 24, 2026 4 min read

The Draft Isn't the Close: Applied AI in B2B Sales Enablement

AI can write a first-class proposal in minutes. Your rep still has to win the deal. Here's why that distinction matters — and how to build the tooling around it.

AI drafts well. Humans close. The teams that figure out which work belongs to which are pulling ahead.

Eli Wood headshot

Eli Wood

CEO, Black Flag Design

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The Navigation Problem: Why AI Alone Won't Get Patients to the Right Resources editorial image
applied ai June 24, 2026 3 min read

The Navigation Problem: Why AI Alone Won't Get Patients to the Right Resources

Social-determinants navigation is one of the most tractable applied-AI problems in healthcare — and one of the most commonly botched. Here's how to do it right.

Matching patients to community resources sounds like a routing problem. It isn't. Here's the architecture that actually works.

Eli Wood headshot

Eli Wood

CEO, Black Flag Design

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The Judgment Engine: Building AI That Knows When to Stop and Ask editorial image
health ai June 24, 2026 4 min read

The Judgment Engine: Building AI That Knows When to Stop and Ask

Most AI failures in health settings aren't technical failures. They're failures of knowing when the machine should hand it back to the human.

When being wrong has clinical consequences, the architecture question isn't how to make AI more confident—it's how to make it know its own limits.

Eli Wood headshot

Eli Wood

CEO, Black Flag Design

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A person's hands resting on the faders of a large audio mixing board, with the upper bank of channels glowing as if operated automatically while the hands stay on the lower controls.
applied ai June 24, 2026 5 min read

Keep your hands on the dials: applied AI for the high-touch services agency

In a people business, the relationship is the product — and that is exactly what teams fear automating away. The way through is not to replace judgment but to industrialize everything around it, so your best people spend their hours where being human actually pays.

How a relationship-driven services agency can apply AI to the repetitive work surrounding client judgment — without letting software touch the relationship itself.

Keith Pattison, Founder of Black Flag Design

Keith Pattison

AI Builder @ Black Flag Design

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Three distinct data streams flowing into a single balanced scale that outputs one numbered score, with a human hand resting on the scale's beam
applied ai June 24, 2026 4 min read

Scoring people fairly: the explainability burden of rating humans with AI

Composite scores that rank people — blending grades, social signals, and demonstrated skill — are some of the highest-stakes models you can ship. The hard part isn't the math; it's earning the right to be trusted with a number that changes someone's life.

When AI assigns a single score to a person, explainability and bias aren't features — they're the whole product. Here's how to build composite rating systems that hold up.

Keith Pattison, Founder of Black Flag Design

Keith Pattison

AI Builder @ Black Flag Design

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A teacher's hand resting lightly on the back of a chair where a young student works through a problem with a glowing guided thread of reasoning on the desk
applied ai June 24, 2026 4 min read

When AI Tutors Think Out Loud With a Student

A model that guides a child's reasoning in the moment is doing the most consequential thing software can do in a classroom. The bar for that is not engagement. It's the bar you'd hold a student teacher to.

Real-time AI instruction raises the stakes the instant a model starts shaping how a student thinks. Here's where the safety bar belongs and why the teacher stays in the loop.

Eli Wood headshot

Eli Wood

CEO, Black Flag Design

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A control room split down the middle: automated gauges and data streams on the left, a person with a hand on a single decision lever on the right, a seam of light between them
applied ai June 24, 2026 4 min read

Inside the RIA: Where Data Science Changes Wealth Management and Where It Can't

A wealth platform with a real data-science team has an advantage — and a trap. The advantage is leverage on operations. The trap is mistaking that leverage for a license to automate judgment.

Where applied AI and data science actually change RIA operations — and where human judgment has to stay no matter how good the model gets.

Keith Pattison, Founder of Black Flag Design

Keith Pattison

AI Builder @ Black Flag Design

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A person at the base of a mountain trail holding a map that unfurls into an annotated path with markers toward a blank summit flag
applied ai June 24, 2026 4 min read

Capital Without the Reps: Applied AI for the Operator Transition

Plenty of people end up with capital before they have operating experience. The gap isn't money or ambition — it's reps. Applied AI can close most of that gap, as long as the human still makes the call.

Helping someone with capital but not yet operating experience make business decisions — with AI compressing research and diligence while a human owns the judgment.

Keith Pattison, Founder of Black Flag Design

Keith Pattison

AI Builder @ Black Flag Design

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A single craftsman's workbench in front, repeated into an orderly row connected by a conveyor stretching to the horizon
applied ai June 24, 2026 4 min read

From Advisor to Platform: Applied AI and the Client Experience Layer

High-touch advisory firms hit a wall when they try to grow: the very intimacy that wins clients is the thing that won't scale. The way through isn't more advisors — it's a client experience layer.

What happens to the client experience when a high-touch advisory firm tries to become a platform — and where applied AI fits without diluting the relationship.

Keith Pattison, Founder of Black Flag Design

Keith Pattison

AI Builder @ Black Flag Design

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