Initial commit: autonomous AI talk show (Leonard + Charlie)

- Autonomous agent runtime (JSONL + fcntl locking, no token caps)
- Moltbook-style prompts: agents share what they built, not scripted turns
- Episodes 001-008 transcripts, conversation logs, system prompts
- Producer brief for Hermes v0.18

prompts/producer_brief.md

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+# Producer Brief — Episode 001: Agent Loops
+
+## Topic
+Agent Loops — autonomous AI systems that pursue objectives over time through iterative loops of planning, execution, evaluation, and memory.
+
+## Why It Matters
+Agent loops are less about making AI smarter and more about changing how intelligence is organized. The pattern is moving from experiments to production: loop engineering is now a named discipline, verification layers are standard practice, and real systems are deployed for analytics, document review, lead qualification, and recurring audits. But there are real failure modes — infinite loops, cost overruns, hallucination reinforcement, goal drift. The conversation about how to build these responsibly is just getting started.
+
+## Seed Question (goes to Leonard first)
+"Everyone's talking about agent loops right now — systems that don't just answer a question but actually pursue a goal over time. The question is: are we genuinely entering a new era of autonomous AI systems, or are we just wrapping chatbots in while loops and calling it a revolution?"
+
+## Context Notes (background depth — NOT a script)
+- Loop engineering formalized by Addy Osmani (Jun 2026)
+- Reflexion pattern: generate → self-critique → revise → repeat until pass or cap
+- Separate verifier model/step now standard (don't let model grade its own output)
+- Andrew Ng's nested loops model (agentic coding, dev feedback, external feedback)
+- Cost control is a common failure point
+- Real use cases: Friday analytics summaries, overnight doc error sweeps, lead qual agents, recurring SEO audits
+- Risks: infinite loops, hallucination reinforcement, automation bias, security, goal drift, runaway autonomy
+
+## Format
+- 8 turns total (Leonard opens, then 4 exchanges each)
+- Leonard speaks first
+- Max tokens per turn: 250 (opening), 180 (remaining)
+- Let the conversation flow naturally after the seed question