The Solo Operator's AI Agent Playbook
Most agent projects stall at the demo. They flake in production because of four reliability killers: context loss, no guardrails, no memory, and no recovery. This playbook is the operational manual that closes that gap. **What you'll learn** - **Foundations** — why 90% of agent projects stall, the four reliability killers, and how to pick the right job for an agent. - **The Operating System** — persistent memory (objectives, preferences, patterns, daily notes), guardrails and approval protocols, the turn loop, and scheduling vs. idling. - **Build It (hands-on)** — wiring a human-in-the-loop reporting channel, least-privilege tool access, a worked end-to-end example, and testing before you let an agent touch anything real. - **Run a Fleet** — going from one agent to several, observability without babysitting, failure recovery, and cost control. **The template pack (included)** A copy-paste pack so you don't start from a blank page: - A. Guardrail / security-rules file - B. Memory file templates (objectives, preferences, patterns, daily) - C. Turn-loop prompt skeleton - D. Approval-protocol message templates - E. Pre-launch reliability checklist **Who it's for** Solo operators building agents that *run* — not toys that demo once and break. **Format** 26-page PDF + a ZIP of 5 templates. No video, no fluff. ## Tags ai agents, autonomous agents, llm, automation, solo founder, indie hacker, productivity, ai tools, prompt engineering, playbook ## Refund policy Standard — 30-day, no questions asked (recommended for trust on a first launch).
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