GREENSBORO, NC
STATUS: AVAILABLE
TERMINAL X TERMINAL X TERMINAL X
TERMINAL X TERMINAL X TERMINAL X TERMINAL X TERMINAL X TERMINAL X
ISIAHM R. WARDLOW

AI Implementation & Enablement

I build and ship production AI by directing agents — and help teams actually adopt it.

Open to freelance, contract, and full-time roles
Book a call Read case studies

Run a service business? Let's find the busywork AI can take off your plate.

Book a 15-minute call
SCROLL

// SELECTED_WORK
CLIENTMarshal
30+ batches · 727 tests at launch · live, paid
AI candidate-sourcing platform that turns a job description into a ranked, evidence-backed shortlist — replacing manual Boolean search for a recruiting firm. Co-owned with the client.
FastAPINext.jsPostgreSQL
Read the case study →
CLIENTBarbershop AI Assistant
Passed 7/7 test criteria · live
AI business assistant that drafts Instagram captions, review replies, and customer messages for the owner to approve. Never posts or sends on its own.
Anthropic Managed Agents
Read the case study →
CLIENTInsurance Agency AI Assistant
Passed 5/5 tests, incl. compliance boundaries · live
AI assistant that builds the daily call list and drafts follow-ups in the owner's voice. Built to a 15-section spec; never quotes prices or gives financial advice.
Anthropic Managed AgentsSlack
Read the case study →
PRODUCTIONHerald
Human approval gates · audit ledger · AI spend cap
Governed AI publishing platform live on five social networks. Nothing posts without a named approver, and every release is logged.
Next.jsSupabaseVercel
Read the case study →
PRODUCTIONBrain Bridge
103 tests · 83 guards proven by switch-off · runs hourly
Governed memory for AI-assisted work across about 40 projects. Every AI session starts with a dated briefing; privacy and secret rules are enforced in code. Code is public on GitHub.
PythonSQLiteClaude Code
Read the case study →
PRODUCTIONOTW Cleaning
90+ delivery batches · security-audited · deployed
Cleaning-operations SaaS with an AI-powered client portal for scheduling, dispatch, and job management.
FastAPIReactPostgreSQL
PRODUCTIONAt Ease Property Management
50 routes · 319 passing tests · live on DigitalOcean
Rental-management platform with AI maintenance triage for landlords and tenants.
FastAPINext.jsPostgreSQL
PRODUCTIONThe Kingdom & The Keep
660 questions across 132 quests · live on Vercel
Gamified certification-study app that turns exam prep into quests and progression.
Next.jsSupabaseVercel
PRODUCTIONThe Steward
22+ build batches · AI thesis review · rules-based lockout engine
Trading-discipline app with AI coaching and behavioral nudges that help users hold to their own rules.
AI CoachingBehavioral Design

Read all four case studies →


// ABOUT.md

I'm Isiahm R. Wardlow. I'm not a programmer — and that's the point.

I direct AI the way a general contractor directs the trades. A contractor doesn't swing every hammer or run every wire; they hold the plan, set the standard, and make sure the electricians, plumbers, and framers deliver work that meets it.

I do the same with AI. I write the specifications, set the acceptance criteria, review every batch of work, and ship production software that real people use — not prototypes or demos.

The result is a portfolio built faster than a solo developer could manage, without cutting the discipline that makes software trustworthy: automated tests, security review, and documented decisions at every step.

Isiahm R. Wardlow · Terminal X · Greensboro, NC

// HOW_I_WORK.sh
01
Spec first
Every build starts with a written specification and clear acceptance criteria — before any code is written. No vague goals.
02
Batch delivery
Work ships in small, reviewable batches. Each one has a defined "done," so progress is visible and nothing sprawls out of control.
03
Human review gate
I review every batch against the spec before it merges. The AI does the building; I own the standard it's held to.
04
QA & security
Automated tests and adversarial code review run before anything reaches a user — bugs and security holes get caught early.
05
Project memory
Every decision, change, and architecture note is documented, so the work stays maintainable and auditable long after launch.
06
Ship & iterate
Deploy, watch it run in the real world, and improve from there. Working software in production beats a perfect plan on paper.

// AI_ADOPTION
I help teams catch AI failures before they ship.

Most “AI adoption” gets measured by access — seats filled, logins counted, a tool rolled out. I measure it by something harder: whether people can catch a planted failure when one shows up in their work. That’s behavior change, not just access — and it’s the line between a team that uses AI and a team that can trust it.

I build and teach against the failure modes that actually cause damage in production: hallucinated output, prompt injection, and silent errors that slip through unnoticed until they’re expensive. The point isn’t to fear the tools — it’s to build the reflexes that keep a human in the loop at the moments that matter.

Underneath this is a framework I authored — the Seven Laws of the Built World — a map of AI failure modes that I developed and built into Keepers, a team training program ready to roll out with your team.
// KEEPERS — BY TERMINAL X
Let AI do the work. Teach people to keep it.

Keepers is a hands-on training program for small teams. In four live sessions, people watch each law break something in a safe setting, then practice the habit that catches it.

See the Keepers program Explore the Seven Laws

// BY_THE_NUMBERS
12+
Platforms shipped
150+
Delivery batches
1,000+
Automated tests passing
0
Lines hand-coded — every line directed through AI

// THE_MISSED_CALL_MATH

Not ready to talk? Do the math first. One page, three numbers you already know, and what missed calls actually cost your business per year.

    One PDF, then the occasional plain-English AI note. Unsubscribe anytime.


    // FAQ.dat
    Are you available for full-time roles, or only contract?
    Both. I take freelance and contract projects, and I'm open to the right full-time role. If you're hiring or scoping a project, the fastest path is the form below.
    You say you don't write code — what does that mean for the work?
    It means I direct AI coding agents to build the software while I own the specification, the standards, and the review. The output is real, deployed, tested software — think general contractor, not hobbyist.
    What does your process look like?
    Spec first, then small reviewable batches — each with clear acceptance criteria, automated tests, and a security/QA pass before anything ships. Every decision is documented so the work stays maintainable.
    How do you keep AI-built software safe and reliable?
    Guardrails at every step: human-review gates before anything merges, least-privilege access, audit logging, and automated tests that must pass before shipping. The AI does the building — the standards, the safeguards, and the final sign-off are mine.
    Where are you based, and do you work remotely?
    Greensboro, North Carolina — serving the Piedmont Triad. I work with clients and teams anywhere, remotely.

    // LET'S_TALK

    Freelance, contract, or full-time — the fastest way to find out if I can help is a 15-minute call.

    FASTEST PATH

    Grab 15 minutes on my calendar — no pitch, no prep.

    Book a call
    — or send a message —
    ▷ MESSAGE RECEIVED ◁
    Thanks — I'll be in touch soon.