Credential · Builders · 8 clock hours
Advanced AI AutomationSet it up. Check it. Let it run.
You already built one automation. This is how you make it something you can trust and leave alone. We build every piece together first, on a practice project left messy on purpose, so the checking agents find real problems. Then you do the same piece on yours: set it up so any agent can pick it up cold, give it a team of agents that check its work, and let it run on its own, with an off switch and $0 of cost when nothing's happening.
Hands-on training using Claude Code
Requires the AI Automation Builder Certificate
The credential at a glance
- Credential
- Advanced AI Automation Certificate
- Type
- Certificate
- Clock hours
- 8
- Format
- Four 2-hour build sessions, in person
- Schedule
- One 2-hour session a week, or two 4-hour half-days a week apart
- Price
- $1,000 a seat, invoiced after the last session
- Class size
- 8 to 15 people
- How it's checked
- Six checks on the work itself, a live demo and a 20-question quiz
- TechCred
- Listing in progress. Reimbursement isn't guaranteed until the state lists it.
- Issued by
- Paglow Automations (Ohio AI Solutions LLC), Lima, Ohio
- Before the first session
- The AI Automation Builder Certificate (or Jayson's OK after a 15-minute call showing a working automation).
- A Windows or Mac computer with Claude Code installed in the terminal, and git installed.
- A paid Claude plan that includes Claude Code, opened by the employer before session 1.
- The automation you built in the AI Automation Builder (or a new bottleneck picked with a manager).
What a holder can do
This is the list the state reads. TechCred pays for hands-on skills in developing, building, configuring or operating technology, so every skill below ends in something you built, set up or ran, and I check the evidence myself.
Build
Make the thing that does the work.
Build an agent wiki: playbooks and lessons-learned pages, with at least one rule written from a real mistake.
Evidence: Wiki pages and the rule traced to its mistake
Package repeatable jobs as skills and specialist agents with only the tools they need.
Evidence: Two skills and two custom agents, each run by a classmate
Write tests first from known answers, watch them fail, protect them from edits, and build until they pass.
Evidence: The failing-then-passing test history and the deny rule or hook
Configure
Set the rules it runs under.
Organize an automation project so a fresh AI agent can pick it up cold: CLAUDE.md under 200 lines, one topic per document, a "where truth lives" table.
Evidence: The project folder and a cold-start test (a fresh agent answers five questions correctly from the docs)
Choose, review and install a plugin or MCP connector safely.
Evidence: The written trust check and the installed component list
Set effort levels and a goal or loop with a stop condition so the checking team runs until clean.
Evidence: The goal or loop and a transcript showing it stop
Operate
Run it, test it, keep it running.
Run security review agents, verify each finding, fix the real ones and record the rest.
Evidence: The findings log
Run optimizer and critic agents (simplicity, speed, cost, idle cost) and act on verified findings.
Evidence: Before-and-after diff and a cost note
Run the automation on its own (desktop scheduled task or headless run) with an off switch, a run log, $0 idle cost and a runbook.
Evidence: A scheduled run, the log, the runbook and the idle-cost math
Two hours each. Something built every time.
In person, on the schedule that suits your team. Every session starts with me building one on the big screen while you call out the next step. Then everyone builds their own. You leave each session with something you keep, and I check it.
Session 1 · 2 hours
Set the project up for agents
A project a brand-new agent can pick up cold.
- Together on the big screen: we turn the practice project's giant instructions file into a CLAUDE.md under 200 lines, topic documents and a first wiki page, and you call out the next step
- The before test: a fresh agent answers five questions about your automation from the files alone
- Your CLAUDE.md cut under 200 lines: the rules stay, the manual moves out
- One topic per document, and a "where truth lives" table that says which document holds which fact
- A lessons-learned wiki page with one rule written from a real mistake
- The after test: a classmate asks a fresh agent the five questions, and all five come back right
What I check: The cold-start test
Session 2 · 2 hours
Skills, agents and mods
Your repeatable jobs packaged, and specialists you can call on.
- Together: we build a /quote-check skill, a read-only security reviewer agent and a tester agent, then write a trust check before installing a plugin
- Two skills for jobs you explain over and over, each run with one command
- Two specialist agents, each with only the tools it needs
- A written trust check before any plugin or connector goes in: who made it, what it can touch, what it runs
- A classmate runs each skill and each agent without your help
What I check: Two skills, two agents, the trust check
Session 3 · 2 hours
The checking team
A change built tests-first, and a team of agents that checked it.
- Together: we write the practice project's tests first, then let the checking team find the planted secret, the slow step and the idle loop
- Tests first: answers you already know become tests. You watch them fail, protect them from edits, then build until they pass
- A security review of the change, and of the whole project
- Optimizers for simplicity, speed, cost and idle cost, and a fresh critic that sees only the result
- A verifier checks every finding before anyone fixes it. Real ones get fixed; the rest go in the findings log with a reason
- Effort turned up for the hard checks, back down after
What I check: Test history, findings log, verified fixes
Session 4 · 2 hours
Let it run
An automation that runs without anyone starting it, and stops when it should.
- Together: we set a goal that reruns the checking team until it comes back clean, then put the practice project on a schedule
- A goal with a turn limit, and a transcript showing it stop
- Your automation running on its own, from a desktop scheduled task or a headless run, at the slowest pace the job allows
- An off switch, a run log and a runbook a coworker can follow, starting with how to turn it off
- The idle-cost math: $0 when nothing's happening
- Your before-and-after hours, a five-minute demo and the quiz
What I check: Scheduled run, log, runbook, demo, quiz
Weekly, or two half-days.
Same four sessions, same 8 clock hours, same credential either way. I don't run it as one long day: the week between visits is when people put what they built to work on real tasks.
Weekly
4 visitsOne 2-hour session a week for four weeks.
Between sessions, people use what they just built on real work, and the next session picks it up.
Two half-days
2 visitsTwo 4-hour half-days a week apart: sessions 1 and 2 on the first, 3 and 4 on the second, with a short break in each.
Between the half-days
Each person runs their checking team on their own automation every working day, keeps the findings log, and brings the three findings they disagreed with. Day two turns that into tests and a schedule.
How it's earned
You earn it with the work, not just by showing up. I check what you built against the same six things for everyone.
Pass all six things I check (the six rubric criteria) at Proficient or better, score 80% or more on the 20-question quiz (16 of 20), and be there for all 8 hours.
Check 1
Project set up for agents
Good enough to pass (Proficient) means
The cold-start test passes; CLAUDE.md is under 200 lines; one truth per fact.
Check 2
Skills and agents
Good enough to pass (Proficient) means
Two skills and two agents that a classmate can run; each agent has only the tools it needs.
Check 3
Safe extensions
Good enough to pass (Proficient) means
A written trust check for every plugin or connector installed; nothing installed blind.
Check 4
Tests first
Good enough to pass (Proficient) means
Tests written before the fix, seen failing, protected from edits, all passing.
Check 5
The checking team
Good enough to pass (Proficient) means
Security, optimizer and critic run; every finding verified; real ones fixed; the rest logged with a reason.
Check 6
Running on its own
Good enough to pass (Proficient) means
It runs without a person starting it, stops when it should, costs $0 idle, and the runbook says how to turn it off.
- Not yet
- Getting there (Developing)
- Good enough to pass (Proficient)
- Above and beyond (Exemplary)
To pass, all six have to reach Proficient.
Miss a session? Watch the recording, then do a 30-minute build check with me before the next class. If someone hasn't met the bar by the last session, I book extra one-on-one time with them at no charge until they do. Each certificate carries a verification code anyone can check at paglow.com/training/verify.
Your business owns the accounts.
They're opened by your business, billed by the software companies, and never part of the training invoice. Owning them is what keeps the work running after class.
Claude (Pro or Team plan)
One seat per person, with Claude Code included. In this course you build in the terminal.
Pro is $20 a month; Team is $25 a seat a month ($20 billed yearly), two seats or more. Billed by Anthropic.
Usually the same seat from the Automation Builder course. Software subscriptions are not reimbursable under TechCred, so the seat is yours directly and never on the training invoice. This course runs many agents at once, and each one uses the seat's usage.
Paglow isn't affiliated with Anthropic. Claude and Claude Code are Anthropic's products.
What never goes into an AI tool
The green, yellow and red data rules your manager signed in the AI Automation Builder still hold. Red never reaches any AI step, any test or any agent. These are the red lines each industry starts from.
No patient information goes into any AI tool in class, ever.
Manufacturing
Red
- Export-controlled drawings or data (ITAR, EAR)
- Employee personal and medical records
- Customer data a contract keeps confidential
Healthcare administration
Red
- Anything that identifies a patient or their care (what HIPAA calls PHI), including a name tied to a visit request
- Insurance member IDs and claims
- Staff licenses and personnel files
Trades and home services
Red
- Payment card numbers
- Gate codes and alarm codes
- Employee personal records
Professional offices
Red
- Social Security, bank and account numbers
- Privileged or confidential client material, unless office policy and a business-plan account allow it
- Tax returns and financial statements outside an approved account
What people bring, by industry
You bring the automation you built in the AI Automation Builder. These are the usual kinds.
Manufacturing
Plants, machine shops and fabricators: estimating, purchasing, maintenance and the front office.
- Quote requests, sortedRFQ emails become a quote-prep sheet — part, quantity, material, due date — plus a reply draft asking for anything missing.
- Maintenance requests, rankedFree-text requests from the floor become a work-order log, ranked by safety and downtime.
- Supplier delays, caughtSupplier emails become an expedite list: the new date and every order it touches.
- Shift notes, summarizedEnd-of-shift notes become one page the next lead reads in a minute.
Healthcare administration
Clinics, dental, therapy and home-health offices — the front desk and back office, never clinical work. Anything that touches a patient needs a HIPAA-covered setup.
- Payer bulletins, explainedInsurance payer bulletins become a one-page summary of what changed for the front desk.
- Forms and directions answer bankThe office's approved facts become a bank of reply drafts staff paste into answers about forms, hours and directions.
- Shift coverageStaff swap requests become a coverage sheet with every gap flagged.
- Supply reordersWeekly supply counts become a reorder list against par levels.
Trades and home services
HVAC, plumbing, electrical, roofing, cleaning and contractors — the office behind the trucks.
- Leads in, sortedWeb-form and email leads become a lead sheet with job type, address and urgency, plus a reply draft.
- Estimates followed upOpen estimates older than a week get follow-up drafts in the owner's own words.
- Done jobs, billedCompleted job notes become invoice line items and a review-request draft.
- Permits and inspectionsInspection emails become a tracker with dates, results and what's next.
Professional offices
Law, accounting, insurance and real estate offices — intake, documents and follow-up.
- Intake to summaryA new-client questionnaire becomes an intake summary and a list of names for the conflict check.
- Document chaserA missing-documents list becomes reminder drafts for each client, in the office's voice.
- Quote requests, preppedInsurance quote requests become a quote-prep sheet with the missing details flagged.
- Listings with a fair-housing checkProperty details become a listing draft, checked against fair-housing wording rules before anyone sees it.
Plan training with this credential
Classes start in 2027. Tell me about your team and I'll reply myself with dates, a plan and the TechCred steps.
Where it leads
Starts where the AI Automation Builder ends: you bring the automation you built there.
