BlackSwan

The offer

Two ways to work together

Every engagement starts the same way: a free diagnostic that tells you why your AI build isn’t shipping and what it would take to fix. From there, two ways to work together.

Delivery rescue

Get a stalled AI build shipping again.

For teams whose in-house AI effort has stalled or gone sideways.

I diagnose why the work isn’t landing and make the honest calls, salvage versus rebuild, and whether it should even be AI, then rebuild the delivery path so code actually merges and ships. Then I stay on to build the critical path myself, AI or plain software, until you’re past the wall.

  • Free diagnostic to find the real bottleneck
  • The honest call: salvage, rebuild, or it never needed AI
  • Hands-on delivery of the right solution, AI or plain software
Free diagnostic. Scoped from there.
Fractional AI delivery lead

Senior AI delivery ownership, a day or two a week.

For teams with devs but no senior AI engineering judgment.

I own your AI delivery the way a head of engineering would, but fractionally: set the delivery system, raise the bar on review and testing, mentor your devs and vibe coders, and ship alongside them, including plain custom software where that’s the better answer. My way of working comes with me, so the team levels up instead of churning.

  • An accountable owner for your AI delivery
  • Your team levels up instead of generating churn
  • Converts to full-time if it’s working
Monthly retainer.

The method

More delivered. Less spent. AI where it earns its place.

No big-bang rewrites, no AI-everywhere theater. The delivery model is built to retire risk early and compound.

Small, scoped projects that build on each other

Each one ships, proves the next, and earns trust before the next bet is placed. Risk gets retired increment by increment, the opposite of one giant bet you can’t inspect until the end.

AI only where it’s highest-value and highest-reliability

Most builds pick AI by hype. I pick it by value times reliability, and use plain, well-built software everywhere else. That judgment is the part most stalled AI builds are missing.

Replace tasks, not people

AI takes the repetitive, error-prone work. Your team keeps the judgment and the relationships, and levels up alongside it instead of being churned through.

Nothing ships on trust

Every change is specced, adversarially reviewed, and gated before it merges. The bar holds at speed because it doesn’t depend on anyone’s discipline that day, including mine.

The edge

More with less, by design

I work AI-native: I’ve built my own way of turning fast AI output into software that actually ships, and I run my whole practice on it before I ever bring it to a client. The specifics are my edge; the effect is the part that matters to you, generated work becomes shipped software instead of churn.

It’s why one operator can hold delivery scope that normally takes a team: deliver more, spend less, with less churn. AI does the volume; I own the judgment at every decision point.

The promise

If I’m not the right fit, I’ll tell you and point you to someone who is. Either way you leave knowing exactly why your AI build isn’t shipping, and what it would take to fix.

Get a free diagnostic