How to design an AI agent workflow that holds
Most AI agent workflows are not designed, they accumulate. Four boundary rules and six controls for drawing the line before you need it.
You bought the tools, your people barely use them, and nobody can say where AI actually belongs in the work. charmthirteen figures out where it belongs, what problem it should solve, and what has to change for it to work. Then we build it so the people you already have get sharper and stay in charge, and we prove that in healthcare and government, where getting it wrong has a cost.
charmthirteen helps people and organizations put AI to work without losing the humans. It assesses your AI tools, workflows, data and governance, builds agentic workflows and custom AI solutions with human oversight, and teaches teams to run them through programs like Working 9 to AI. It serves the Kansas City metro in person and teams across the US online.
"AI that makes people more capable and keeps them in charge."
Schedule a Vibe Check → (opens in a new tab)Some teams need a clear read on what's working. Some need the thing built. Some need to learn how to run it themselves. Most need a little of each, and you can start with any one.
Find out what's working, what isn't, and where AI can actually earn its place. We inspect your tools, workflows, data and governance, then tell you what to keep, change, automate, govern or build.
See AI assessments →Design and build the workflows, automations and AI solutions your team needs, with a human approval step wherever a decision matters. It runs on your accounts, and you own it.
See how we build →Learn to use AI on your real work, build systems you can repeat, and check the results before they leave your hands. Live classes for individuals, and custom training for teams.
Explore Learn AI →A live 90-minute working session. Bring one real task and leave with a brief you can reuse.
Thursday, November 12, 2026 · 6 to 7:30 PM Central, online · $95
Most teams already have the tools. What's missing is a system underneath them, and the gap usually looks like this:
Every item on that list costs hours, clarity, or trust, and none of them gets fixed by a new subscription. A system fixes them: work that's mapped, outputs that get checked, and results you can repeat next month.
That's where I come in.
Safe, efficient, and usable. In that order.
Depending on what Discovery finds, it turns into one of these, or a combination:
You do not get sold a service. You get matched to a solution, and the scope comes after discovery instead of before it.
Every engagement starts with a free Vibe Check, and Discovery decides what the work actually is. These are the four shapes it usually takes.
Know what to keep, change, automate, govern or build before you buy another tool.
Three assessment packages, each with hands-on inspection of your systems and data and written deliverables you keep.
AI rules your team can actually follow.
Who approves what, which data stays out, how outputs get checked, and who owns the decision when something goes wrong, written down before the next tool rolls out.
The repetitive work moves into a workflow, and your people review instead of retype.
Intake, triage, documentation, follow-up and reporting, designed as agents and automations with a human approval step built in.
A build that runs on your accounts, plus the training to run it.
A standalone AI product or an agent workflow, scoped in a Blueprint you own and built so your team runs it without us on the call.
Compliance, accuracy, and trust aren't optional. Neither is structure.
charmthirteen classes start from a task you already do. You leave with something built, tested, and ready for Monday.
Turn one recurring task into a tested, reusable AI system, with a human approval step and governance you can explain.
Levels 2 to 5 · four live 90-minute sessions · hybrid · quarterly · up to 25 seats · $475
Sign-ups are open now. The first cohort launches in January 2027.
Sign up now →A live 90-minute online class. Bring a real task from your week and finish it with AI, then learn how to check what it gave you.
$95 · up to 25 seats · monthly on Thursdays, 6:00 to 7:30 p.m. Central · Next class: Thursday, November 12, 2026
Optional, never required, and your ticket price credits toward Working 9 to AI.
See dates and register →The current Central Exchange cohort starts October 28, virtual on Zoom, Wednesdays 8:30 to 10 AM Central. Five 90-minute working sessions, and every one ships a Claude skill you keep.
Independent workshop by charmthirteen, listed on Lovable Community Events. Attendees receive 100 Lovable credits. Not an official Anthropic or Lovable program.
Orinyx was created by charmthirteen's founder and is independently incorporated. It is currently accepting sign-ups for the beta launch. Hospitals wanted an independent way to test clinical AI before deployment, and no one could give them one. Orinyx checks every AI assertion against authoritative sources instead of another model's judgment, so each verdict is deterministic and arrives with a citation.
Solution designs from prior work, each with the problem, the architecture, and what happened to it.
See the portfolio →Smaller tools that came out of real work: VibeCheck.exe for pressure-testing an idea, Listing Check for your Google listing, and the Stellar Agents Ascension kit.
See the tools →That background is why the recommendations hold up after I leave the room.
Notes from the work: what broke, what held, and what we would build again.
Most AI agent workflows are not designed, they accumulate. Four boundary rules and six controls for drawing the line before you need it.
80% of pull requests get no human review once an AI code review tool is enabled. What review debt is, what the research shows, and how to define done.
A four question test for deciding whether a new AI tool earns a place in your stack or gets cut. Every job gets one slot, and the challenger has to take it.
A weekly newsletter on practical, human-centered AI: the governance decisions, the agentic systems, and the skills and tools that hold up in real work. It's written for people who want AI to make their work better, and who want to stay the ones in charge of it.
Twenty minutes, free, and you don't need to know what you need yet. Bring the problem, not the diagnosis.