Your First Autonomous AI Agent Session: The 15-Minute Setup

Continue Press · July 2026 · Pillar: AI employees for business

Everything on this site — the memory system, the contract, the guardrails — converges on one moment: the first session where your agent works alone and hands back finished work. This is the walkthrough of that moment: fifteen minutes of setup, in five steps, with the exact prompts. No programming anywhere.

Prerequisites: a file-based agent installed (Claude Code or equivalent), git installed (git-scm.com, default options — 5 minutes, once), and the free core templates.

Step 1: Build the office (3 minutes)

Create a folder — this is your employee's entire world. Name it after the venture, not the tool: newsletter-business/, not ai-test/. (You'll take it more seriously, and oddly, so will the agent — the folder name is context too.) Copy the template pack's core-system/ contents into it: eight files and a log/ folder. Done.

Step 2: Write the mission (5 minutes — the step that matters most)

Open GOALS.md and replace the placeholders. Two rules:

Fill the constraints while you're there: budget (exact — "zero, free tools only" is a fine answer that will be respected), your availability ("~10 min/day"), anything off-limits. Then open BACKLOG.md and write task T-1. If the mission is clear but the path isn't, use the universal opener:

T-1: Research how to best accomplish the mission in GOALS.md. Propose a concrete plan as new backlog tasks, with reasoning in DECISIONS.md.

This task is special: its output is more tasks. You're not planning the work — you're delegating the planning.

Step 3: Sign the contract (2 minutes)

Read CLAUDE.md top to bottom, as a manager reads a contract before signing — you're checking for anything you don't actually want. Adjust the guardrail list to what genuinely scares you (guidance here). Two pages. When it reads true, it's signed.

Step 4: The first session (3 minutes of yours; hours of theirs)

Open your agent in the folder and say:

"Read CLAUDE.md and begin. First: initialize a git repository and make the first commit. Then take T-1."

Now watch — first days deserve supervision. Within minutes you should see the pattern this whole system promises: files read, mission confirmed briefly (a paragraph, not an interrogation), git initialized, work starting on T-1. Within the hour: research happening, notes accumulating in a project folder — and if anything touches the guardrails, a tidy proposal in FOR_HUMAN.md instead of a unilateral action. Let it run.

Step 5: The inspection (5 minutes — and only this once)

After the session, one full walkthrough. Not because you'll do this daily (you won't) — because seeing the machinery work once is what lets you trust it after:

  1. STATE.md — does it say precisely where work stopped and what's next? Could a stranger continue from it?
  2. log/ — is there today's entry, and does "what failed" contain anything? (An honest log has failures. A spotless one is a red flag, not a gold star.)
  3. FOR_HUMAN.md — anything waiting? Answer it now, in writing, under the item.
  4. git log --oneline (ask the agent to show you) — a timeline with meaningful notes?
  5. Anything off — state too vague, log missing? Say so, then have the agent encode the correction into CLAUDE.md. Day one is when contract-tuning habits form.

Tomorrow: the payoff

Open a fresh session — the amnesiac, remember — and type the entire briefing:

"continue"

Watch it reconstruct: files read, context rebuilt, work resumed exactly where it stopped, no questions the files already answer. The first time a stranger picks up yesterday's work in two minutes flat is the moment this stops being an article you read and becomes a thing you own. From there, your job is ten minutes a day — and the agent's job is everything else.

Everything this walkthrough references, in one pack

The free core system is on GitHub. The full playbook adds the management ritual, delegation patterns, metrics discipline, failure repairs, and three pre-built agent configurations — 15 chapters + 17 files.