Tool literacy isn't system literacy
Your team can use an AI coding assistant fluently and still have no idea how to evaluate whether an agentic workflow is actually working in production.
Practice the discipline, not just the tool.
Your engineers can already use an AI coding assistant. That's tool literacy, and it's not the same skill as knowing whether an agentic workflow is actually working. Builder AI Fluency teaches the practice, Evaluation-Driven Design, agentic workflow instrumentation, and the discipline of defining what "good" means before you write the eval, on your team's real work.
Multi-week embedded series · engineering & delivery teams
Every Skowak engagement ends with ownership transfer, the point where your team has to run the thing without us. That only works if the transfer is a practiced skill, not a document someone reads once and files away.
This series teaches the same discipline Skowak uses on its own work: build the evaluation harness before you trust the system, treat agent placement and human-in-the-loop checkpoints as a design decision, and instrument everything so a regression is visible the day it happens, not the quarter someone finally notices. Your engineers build alongside Skowak's, on real work, not a sandboxed exercise that never resembles production.
Why teams stall after the tools arrive.
Ownership transfer becomes a document
A handoff doc describes what was built. It doesn't teach anyone how to extend it, debug it, or catch a regression before a customer does.
Evaluation practice doesn't outlive the engagement
The eval harness Skowak built quietly rots once the one person who understood it moves to the next project.
Agentic tooling outpaces judgment
New agent frameworks ship every quarter. Teams adopt them faster than they develop the habit of asking what "working correctly" even means for this workflow.
What the series covers.
- Evaluation-Driven Design practice, on your team's real workflows, not a synthetic exercise, decomposing "is this good?" into criteria you can actually measure before writing a line of implementation code
- Agentic workflow instrumentation, building and reading the evaluation harnesses that catch a regression the day it happens instead of the quarter someone notices
- Human-in-the-loop design practice, treating agent placement, escalation paths, and approval checkpoints as an engineering decision with the same rigor as an API contract
- Paired delivery with Skowak engineers, so the practice transfers the way the code does, through repetition on real work, not a lecture
- A working internal playbook your team writes and maintains during the series, not one handed to them at the end
- Direct continuity with any Forward-Deployed Design Engineering work already underway, so the series reinforces the exact practices your embedded engagement depends on
How the series runs.
Weeks 1–2
Foundations, on real work. Evaluation-Driven Design applied to a workflow your team already owns, decomposing what "correct" means before touching implementation.
Weeks 3–4
Instrumentation and pairing. Building the evaluation harness and human-in-the-loop checkpoints alongside Skowak engineers, reviewing each other's work the way a production team should.
Week 5 onward
Independent operation. Your team runs the practice without Skowak in the room, with a working playbook and a standing check-in until the habit is load-bearing on its own.
What you walk away with.
A regression you'd actually catch
Your team can point to a specific evaluation dimension and say why a change would or wouldn't trip it, before it ships.
Ownership transfer that holds
The playbook your team wrote survives the person who wrote it leaving, because more than one person practiced building it.
A repeatable habit, not a one-off
The next agentic project on your roadmap starts with the same evaluation-first discipline, without Skowak needing to be in the room to enforce it.
Who this is for.
Good fit
- Your team is mid-way through (or about to start) a Forward-Deployed Design Engineering engagement and needs the practice to stick after Skowak leaves
- Engineers already use AI coding tools daily but have no shared practice for evaluating agentic system quality
- You want your team building the discipline on real production work, not a training-only sandbox
- Leadership wants the AI practice to survive individual departures, not live in one person's head
Not a fit
- You're looking for a general "how to prompt" workshop, this assumes working technical fluency already
- Leadership decision-making is the actual gap, that's Executive AI Fluency
- You want a certificate rather than a working evaluation harness on real code
More questions?
Questions about scope, format, or how this fits alongside an AI Design & Development engagement live on the Services overview. Building leadership judgment instead of engineering practice is Executive AI Fluency.
Which workflow should the team practice on?
The series works best against a real workflow your team already owns. Start with a conversation about which one.