A single AI generates once and hopes. A Full Agent operation works like a team — one role drafts, another reviews line by line, another finds root causes and lays out options, another executes — and nothing ships until it passes every gate. That is how we work, and it is what we sell.
Project work priced per piece, never by the hour · One-page agreement · Deposit of ⅓–½ to start
That output is roughly one publishable piece a day for 96 years, or more than 175 books of 200 pieces each. It is not a typing speed — it is what a governed production system does. We don’t sell AI tools; those are commodities now. We sell the command method that makes an agent team produce reliable work.
The same review chain that produced the numbers above is the one we build inside your business.
The drafting role produces the work against a written specification — scope, format, and standards fixed before the first line.
A separate reviewer checks the draft line by line against the specification. The drafter never approves its own work.
When something doesn’t add up, an analyst finds the root cause and lays out the options — with a recommendation, not a shrug.
Approved decisions are carried out and verified against the original requirement. If it isn’t right, it gets fixed — no exceptions.
Five ways to put a Full Agent team to work. Introductory pricing while we build our first client cases — rates rise once those results are in.
We review how your team produces documents and handles repetitive knowledge work, find where time and money are leaking, and show exactly what an agent system would save.
We build your multi-role review chain — drafting, independent review, root-cause analysis, execution — for contracts, records, content, and back-office documents.
We stay with you while the new workflow goes live: agent team setup, the review chain running, and weekly check-ins until the process runs on its own — our team produces, you sign off.
For owners and professionals who want to command their own agent team properly: hands-on sessions built around your real work, not generic tutorials.
For nonprofits, faith-based and community organizations: we break down each funder's guidelines line by line, build the proposal on the scoring rubric, and draft, budget, and QC the full submission. Your data, verified and written persuasively — never fabricated, and no contingency fees.
Simple, written, and safe for both sides — from the first email to delivery.
A few lines are enough: what your team produces, and where it hurts.
Every inquiry is reviewed and verified by our agent team before it reaches the founder. Real businesses get a fast, prepared reply; scams stop at the gate.
A short call to see whether we can actually help. If we can’t, we will say so — plainly, and at no charge.
Fixed price per piece, written down before work begins. A deposit of one-third to one-half — by bank ACH or Stripe only — starts the work. No deposit, no start: that protects you as much as us.
You receive finished work that has passed the full review chain — not a raw first draft — on the schedule stated in the agreement.
Project work is priced per piece: you pay for a finished, reviewed result, never for hours on a clock. Coaching is the one exception — it is billed by the hour, as listed.
We work by email on purpose: every commitment stays clear and verifiable.
Errors are corrected, not argued about. That rule runs our own production line, and it runs client work too.
Jethro “JJ” Lai founded Full AI Agent, LLC in West Bloomfield, Michigan. His background is in computer science and software engineering, with more than 30 years of hands-on work — including decades running a real-estate rental business in Michigan.
He doesn’t operate AI as a tool he occasionally opens. He commands a standing agent team — with named roles, review gates, and production records — the way a director runs a plant. The 35,105-piece record above is that team’s own output, produced under his direction in 37 days.
Full AI Agent sells that command method: audited, analyzed, solved, and delivered — a full team on your problem, not a one-shot generation.
Prefer to write directly?
[email protected]
[email protected] — founder’s company inbox