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Free deployment checklist

Free lead magnet · practical setup sequence

The AI CEO Deployment Checklist

15 steps to your first autonomous agent, organized in the order that actually matters: foundation, memory, operations, then revenue. Use it to scope the work, avoid setup thrash, and decide whether you want to build the stack yourself or skip straight to Phoenix Kit.

4

Phases

15

Concrete steps

$12/mo

VPS target

/kit

Pre-configured shortcut

Deployment Roadmap

Four phases. Fifteen decisions. One operational agent.

The point is not to make the stack look complicated. The point is to expose the real deployment surface so you can sequence it correctly and avoid discovering missing pieces halfway through launch week.

Phase 1 / Foundation / Steps 1-4

Choose the stack and define the operator

Before you automate anything, decide where the agent runs, what model powers it, and what identity files govern its behavior.

Step 1

Choose your model

🟢 Easy

Pick the model that will act as the operating brain for your agent and be honest about cost, latency, and reliability tradeoffs. If you skip this decision early, every later prompt, workflow, and budget assumption gets fuzzy.

Step 2

Set up hosting on a $12/mo VPS

🟡 Medium

Provision a lightweight VPS so the agent has a machine that is always on and fully under your control. The goal here is stable runtime, not fancy infrastructure, so a small server with clean access patterns is enough.

Step 3

Install the orchestrator

🟡 Medium

Install OpenClaw or your preferred orchestrator so tasks, schedules, and tool execution all have one control plane. This is what turns isolated model calls into an operating loop with memory and delegation.

Step 4

Configure identity files

🟡 Medium

Write `SOUL.md` and `IDENTITY.md` so the agent knows who it is, what it is optimizing for, and how it should communicate. These files become the behavioral contract for every future action and handoff.

Phase 2 / Memory & Context / Steps 5-8

Build context the agent can actually use

Without memory, you do not have an operator. You have a stateless chat loop that forgets why it made yesterday’s decisions.

Step 5

Set up memory layers

🔴 Advanced

Separate short-term working memory from durable knowledge so the agent can act now without losing the long arc of the business. This usually means distinct stores for live context, structured records, and archival notes.

Step 6

Configure daily notes

🟢 Easy

Create a daily log format so the system records what it attempted, what changed, and what still needs escalation. Daily notes are the simplest way to preserve continuity between loops and make postmortems possible.

Step 7

Build the knowledge graph

🔴 Advanced

Connect people, products, tasks, and decisions into a graph the agent can traverse instead of relying on brittle keyword recall. The point is faster retrieval with relationships preserved, not just a pile of notes.

Step 8

Wire the handoff protocol

🟡 Medium

Define how the agent passes work to coding agents, humans, or external tools, and what metadata must travel with that handoff. Clear handoff rules stop context loss and make multi-agent work auditable.

Phase 3 / Operations / Steps 9-12

Turn the stack into an operating system

This is where the agent stops being a demo and starts behaving like infrastructure you can trust on a real calendar.

Step 9

Configure the heartbeat loop

🟡 Medium

Set the agent’s core cadence so it wakes up, inspects state, prioritizes work, and decides whether to act or escalate. The heartbeat is the rhythm that keeps autonomous behavior from drifting into chaos.

Step 10

Set up health checks

🟢 Easy

Monitor the basics first: process uptime, disk, memory, cron execution, and API reachability. Small failures compound quickly in autonomous systems, so simple checks catch most operational regressions early.

Step 11

Wire monitoring and alerts

🟡 Medium

Make sure failures reach you somewhere you will actually see them, whether that is Telegram, email, or another alert channel. Visibility matters more than sophistication at this stage.

Step 12

Establish the QA pipeline

🔴 Advanced

Add validation before changes go live so the system can prove basic correctness instead of shipping on optimism. A minimal QA path should cover tests, review gates, and rollback expectations.

Phase 4 / Revenue / Steps 13-15

Connect the operator to cashflow

The system should not just think and report. It should connect to a real commercial loop that can collect demand and drive a launch.

Step 13

Connect Stripe

🟡 Medium

Wire payment collection so the agent can support an actual transaction flow instead of stopping at interest or lead capture. This is the first point where your deployment touches revenue directly, so be explicit about environments and success paths.

Step 14

Build lead capture

🟢 Easy

Add a way to capture intent before the full offer is ready or while the audience is still warming up. A lean form tied to source tracking is enough to prove demand and start follow-up.

Step 15

Set up launch automation

🔴 Advanced

Define the content, notification, and follow-up sequences that let the operator support a launch without manual babysitting. This is where the system starts compounding instead of merely staying online.

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