AI Agent Team Blueprint
The premium step up from a single AI employee: a coordinated pod of AI agents (e.g. Qualifier → Researcher → Drafter → Follow-up) that hand off to each other and run as your "AI department". You get a team charter, a complete paste-ready system prompt for every agent, the hand-off protocol between them, per-agent guardrails, an escalation matrix and a 30-day rollout plan — built for ChatGPT/Custom GPTs, Claude Projects, Lindy, Relevance or any agent platform. You own it and run it on your own accounts; we host nothing and hold none of your data.
A pod of AI agents is a different build from a single AI employee. Four narrow agents — a Qualifier feeding a Researcher feeding a Drafter feeding a Follow-up — behave far more predictably than one general-purpose bot asked to do all four jobs, but only if somebody has written down where each role starts, where it stops and what it passes along. The AI Agent Team Blueprint is that written specification, for A$149 one-off: a team charter, a complete paste-ready system prompt for every agent, the hand-off protocol between them, per-agent guardrails, a team-wide escalation matrix, a 30-day rollout plan and a prompt-maintenance guide.
The shape of the pod is yours to nominate — the roles, the platform they will run on, the tone they hold and the point where a human takes over — and the blueprint is written around those answers rather than a generic org chart. It arrives about 20 minutes later on your order page and as a Markdown download you can print to PDF. Four free AI revisions come with it, which matters more than it sounds: the sensible way to read a team charter is once quickly, then again after you have imagined a real week of work running through it.
The seam between agents is where pods fail
Individual agent prompts are the easy part. What breaks in practice is the join between them — the Qualifier handing the Researcher a half-formed summary, or the Drafter inventing context because nothing upstream told it what had already been confirmed. The hand-off protocol sets out what each agent passes to the next, so the pod reads as a chain of colleagues rather than a row of strangers guessing at each other's work.
Alongside it sit guardrails written per agent and one escalation matrix for the whole team, both shaped by your answer about where agents should stop and fetch a human. An agent that is stuck, uncertain or out of scope gets a defined exit instead of an improvised one.
Paste-ready for the platform you already run
The blueprint is written against whichever platform you nominate — ChatGPT or Custom GPTs, Claude Projects, Lindy, Relevance, or another agent platform you already pay for. The prompts arrive paste-ready, so standing up each role is a copy job rather than a prompt-engineering project.
You own the result outright and run it on your own accounts, and it is worth being plain about what that means: this is a written blueprint, not software. ECTD hosts nothing, connects to nothing and holds none of your data, so nobody logs into your CRM, installs anything, or watches the agents once they are live. The building and the running stay with you.
Shadow, then supervised, then autonomous
The 30-day rollout plan stages trust rather than granting all of it on day one. Shadow first, where you read what the pod produces instead of sending it. Then supervised. Then autonomous, for the tasks that have earned it. It is the difference between catching a flaw in a draft and catching it in a message a customer has already read.
The prompt-maintenance guide covers what most teams skip entirely. Prompts drift as your offer, pricing and objections change, so the guide gives you a routine for reviewing and updating each agent's instructions long after launch week.
What you get
- Team charter — each role's mission, scope and hand-off boundaries
- A complete paste-ready system prompt for EVERY agent
- The hand-off protocol — what each agent passes to the next
- Per-agent guardrails + a team-wide escalation matrix
- 30-day rollout plan (shadow → supervised → autonomous)
- Prompt-maintenance guide to keep the team sharp
- 4 free AI revisions included
Turnaround: ~20 minutes. Delivery: On-page + Markdown download (print to PDF).
Frequently asked questions
Do you build, connect or host the agents for me?
No. This is a written blueprint — charter, system prompts, hand-off protocol, guardrails, escalation matrix, rollout plan and maintenance guide. You paste the prompts into your own platform and run them on your own accounts. We host nothing, integrate with nothing and hold none of your data.
We already run one AI agent that works. Is a pod overkill?
It can be. If one agent genuinely covers the job, buy the single-agent product for that role and keep things simple. The case for a pod is when the work has distinct stages that a single set of instructions keeps blurring — qualifying, researching, drafting, chasing — because most of this blueprint's value sits in the coordination layer between roles rather than in any one prompt.
How many roles should the team have?
You nominate the number of agents or roles in the intake, and every agent you name gets its own complete system prompt. There is no published cap. The practical guide is to name the roles you will actually run rather than padding the org chart, since an agent nobody uses still needs guardrails, a hand-off and a place in the escalation matrix.
The prompts arrive paste-ready — realistically, how much editing should I expect?
They are written from the details you supply and are meant to run as delivered, but every business has specifics that only surface once you see real output. That is why the rollout plan opens in shadow mode, and why four free AI revisions are included — run the pod, then send back what needs adjusting.
Is the A$149 recurring, and does it cover the platform subscriptions?
It is a one-off charge for the blueprint, not a subscription. Any ChatGPT, Claude, Lindy, Relevance or other platform costs are billed to you directly by those providers; the blueprint neither includes nor discounts them.
What if the platform we use isn't one of the ones you list?
Name it in the intake. The blueprint is built for whichever agent platform you intend to run the team on, and the listed ones are examples rather than the full set.
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