AI Agent Adoption Sprint | GRAIsolSkip to main content

AI Agent Adoption Sprint

Agent workflows that actually survive contact with reality.

For founders, CEOs, and technical teams who are done playing with AI tools and want one wired into the business. A paid sprint with a concrete deliverable: the highest-ROI workflow, a human approval loop so the agent can't do anything irreversible unsupervised, and one working workflow you keep running.

From $1,500 · One workflow, running · A pattern you keep

The problem

“We're using AI” usually means nobody wired it in.

Everybody has AI tools now. That's table stakes. The gap is between having seats and having an agent that does real work reliably. Three ways that gap shows up:

The pilot that quietly died

You ran an AI pilot. It demoed well. Six months later nobody uses it, because "works in a demo" and "runs reliably against real inputs" are different sentences — and nobody closed that gap.

Tools nobody wired in

Your team has seats on five AI products. They paste things into a chat window and copy the answer back out by hand. That’s not adoption — that’s a subscription. None of it is wired into how the business actually runs.

The agent that did something dumb

Or the opposite fear: you give an agent real access, it runs unsupervised, and it does something irreversible you'd never have approved. So you keep everything on a leash and capture none of the upside.

What the sprint delivers

Five things. One of them is a workflow that's actually running.

Not a strategy deck and not a demo. A sprint that ends with software doing work — and a pattern your team can run again.

01

Find the highest-ROI workflow

We don't start with a tool. We start with where an agent actually saves you money or hours — the repetitive, judgment-light work your team grinds through every week. One workflow, picked because it pays for itself, not because it demos well.

02

Design the human approval loop

Autonomy without a brake is a liability. We define exactly where the agent stops and asks — so it can't do anything irreversible unsupervised. The agent moves fast on the cheap, reversible steps and waits for a human on the ones that matter.

03

Set up the automation

Agent AFK, Claude Code, repo automation — wired where it actually fits your stack, not bolted on for the sake of it. Config, audit trail, and recovery paths included. The plumbing that makes an agent run reliably instead of once.

04

Build one working workflow

You leave with something real and running — not a slide deck, not a proof of concept that rots in a branch. One agent workflow doing actual work against your actual systems, with the approval gates live.

05

Leave with a repeatable pattern

The point isn't one workflow. It's that your team can see the shape of how this gets done — pick the work, draw the approval line, build, verify — and run it again on the next workflow without me in the room.

Fit

Sharp on who this is for.

This is for you if

  • You’re a founder, CEO, or technical lead who wants an outcome, not a workshop.
  • You have repetitive, real work an agent could plausibly take over.
  • You want autonomy with a brake — not a black box, and not a toy.
  • You’d rather leave with one workflow running than ten slides about AI.

This is not for you if

  • You want to "learn vibe coding" or get your engineers good at agentic coding — that’s a different engagement.
  • You want a broad AI strategy deck with no working software at the end.
  • You want a course or a training cohort. This is a build, not a curriculum.
  • You’re shopping for generic AI consulting and a long discovery phase.

Why me

I don't talk about agents. I ship the runtime.

The approval gates, reversibility, and verification this sprint installs aren't slideware — they're how the tools I build already work. Proof, not a pitch.

I build the runtime this runs on

Agent AFK is an open-source (Apache-2.0) agent runtime I built from scratch on Anthropic’s Messages API — CLI, daemon, and Telegram bot sharing one config and a library of orchestration skills. The same harness that runs my own work runs client engagements.

Approval gates and reversibility are the design

The whole posture is agentic on reversible actions, cautious on irreversible ones. Pre-tool hooks can block a dangerous call before it runs. That's not a feature I'll add for you — it's how the thing is built, which is exactly what your approval loop needs.

"Finished" is not "correct"

A green checkmark is a story an agent tells after the fact. Agent AFK writes an append-only trace of every tool call and decision, so unattended work leaves evidence you can audit without trusting the thing that produced it. Verification is in the loop, not bolted on.

I’ve shipped this kind of work

MCP servers that wrap the APIs of Cursor, E2B, ElevenLabs, Twilio, and Smartlead — the integration plumbing that lets an agent actually act in real systems. An open-source orchestration framework for Claude Code. I write about agentic coding from inside the work, not from the sidelines.

Pricing

Three ways in. Same spine.

Pick the size that fits the work. Not sure? Book a call and we'll scope it together.

Pilot

$1,500

One focused workflow, scoped tight. The fastest way to find out whether an agent earns its keep in your business — with something real running at the end.

Most popular

Standard

$3,000

The full sprint: highest-ROI workflow, approval loop, automation wired in, one workflow built and running, and the repeatable pattern documented so you can extend it.

Team version

$5,000+

Built for a team, not one operator. Two or three workflows instead of one, your people working alongside me on the build, and a working session so they can run the pattern on the next workflow without me. Priced to the scope once we map it.

Questions

The questions founders actually ask.

Do you need access to our code?

Only as much as the workflow needs. If we’re wiring an agent into a repo, I’ll need scoped access to that repo; if the workflow lives outside your codebase, often I don’t. We define the access and the approval gates together before anything runs, and the agent stops and asks before any irreversible step.

What if we’re not technical?

That’s fine — this is sold to founders and operators, not just engineers. You bring the business judgment about what work matters and what “good” looks like; I bring the build. The deliverable is a workflow that runs and a pattern your team can follow, not a pile of code you’re left to maintain alone.

What do we actually leave with?

One working agent workflow running against your real systems, a human approval loop that keeps it from doing anything irreversible unsupervised, and a repeatable operating pattern — pick the work, draw the approval line, build, verify — that your team can run again without me.

Pilot, Standard, or Team — which one?

Start with the Pilot ($1,500) if you want to test whether an agent earns its keep on one workflow. Take Standard ($3,000) for the full sprint with the automation wired in and the pattern documented. Choose the Team version ($5,000+) when more than one person needs to be able to run the pattern. If you’re unsure, book a call and we’ll size it to the work.

How long does it take?

A sprint, not a quarter. The point is to move fast and leave you with something running, not to open a long engagement. We scope a concrete deliverable up front so you know exactly what “done” looks like before we start.

Is this a course or training?

No. This is a build. You don’t leave with lessons — you leave with a workflow that works and a pattern you can reuse. If you specifically want to get your engineers good at agentic coding, that’s a separate thing; tell me on the call and I’ll point you the right way.

Stop playing with AI tools.

Book a 30-minute call. We'll find the workflow worth wiring up, and you'll leave the sprint with one running.