Epictetus
772ef4f6fd
- 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
1.9 KiB
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