// conversation.not.pitch

Book a trustworthy AI coding diagnosis.

For the senior engineer carrying the verification tax, and for the leader trying to turn private AI usage into a capability the company can actually see.

Thirty minutes. No deck, no script. We talk about where your team really is with AI, what you are trying to reach, and whether CompoundCoders is a fit. If it is not, you still leave with a straight answer and a few useful next moves.

> Pick a time See if it fits →

Pain

More output to verify.

Shift

One shared work bar.

A clear call outcome.

// who.is.on.this.call

Two readers. One conversation.

Most people on this call come from one of two seats. Both are welcome. The conversation adapts to the seat you are in.

// engineering.lead

You are carrying the verification tax.

Tech lead, staff or principal engineer, founding engineer, or hands-on engineering manager.
AI helps, but plausible output still leaves cleanup, review archaeology, and hidden assumptions on your desk.
You want a system for context, evaluation, recovery, and an agent-ready repo, not another prompt pack.
You are sizing up training for a team or division, not one personal seat.

// cto.ceo

You need adoption you can see.

Founder, CEO, CTO, VP, or head of engineering with AI on the agenda.
Your company already has the tools. The capability is uneven, private, and hard to govern.
You want adoption you can review and explain, not seat counts and anecdotes.
You are looking for one cohort, one shared bar, and a repeatable way to scale it.

// pick.a.time

Find a slot that works.

Choose a time and you will get a calendar invite with the video link. Need a slot that is not listed? Email Troels directly.

> Email instead

calendly.com/troels-wonoplab

If the scheduler does not load, book directly at calendly.com/troels-wonoplab.

// honest.fit.check

Is this call for you?

Book if you are an engineering lead

You want leverage without inheriting silent risk.

Your team uses AI every day and review has become cleanup duty.
You want bounded, inspectable AI work, not faster typing with stranger bugs.
You would rather invest in context, evaluation, and a repo agents can actually navigate.
You want to make the internal case for proper training without hand-waving.

Book if you are a CTO or CEO

You need the practice to become visible.

You have bought the seats, but capability is still anecdote-shaped.
You want AI adoption to look like an operating system, not a memo.
You need a shared engineering bar before the next AI announcement.
You would rather ask direct questions than read another pricing page.

Maybe skip it if you are after one personal seat; the free guides are a better place to start. Also skip it if you want a vendor who will promise magic multipliers for your slide.

// thirty.minutes

What we will actually cover.

Four beats. Same arc the call follows: pain, picture, gap, path. Read it from whichever seat you are in.

The pain you are carrying

For engineers: Plausible output, missing context, edge cases, security details, and hidden assumptions that quietly become your problem.

For leaders: The review burden and hidden risk behind the seat licenses, demos, and AI productivity anecdotes.

The picture in 30 days

For engineers: Who you want to be as code generation gets cheap: judgment, specs, verification, recovery, and repo readiness.

For leaders: What visible AI capability looks like: clearer specs, sharper review, fewer production surprises, and a story you can tell without theatre.

The gap that is widening

For engineers: Session-by-session habits versus a repeatable system you could hand to a teammate.

For leaders: Private experimentation versus an operating discipline you can govern, review, and explain.

Whether and how to move

For engineers: Whether the system fits your stack, what a 30-day rollout on one repo looks like, and what it costs to stay ad-hoc.

For leaders: Cohort size, scope, cost, timing, and who else needs to be aligned before this becomes real.

Player 01

Troels Frimodt Rønnow

Founder · CompoundCoders

// your.host

Who you will be talking to.

Background in quantum computing research, compiler development, and blockchain infrastructure. Has spent the last several years building production software with AI, most of it livestreamed five days a week.

Talks with engineering leads about repository structure, context engineering, evaluation, and recovery. Talks with CTOs and CEOs about turning private AI usage into a teachable, governable operating capability.

The training your team would take is a distillation of what actually works on that screen. The call is a chance to ask the person who wrote it whether it is right for you, directly.

// next.step

Still reading? Then book the call.

Thirty minutes, a straight conversation, and a clear next step. That is the whole offer, whichever seat you are in.

> Pick a time Email instead →