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
26 lines
1.9 KiB
Markdown
26 lines
1.9 KiB
Markdown
# Producer Brief — Episode 001: Agent Loops
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## Topic
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Agent Loops — autonomous AI systems that pursue objectives over time through iterative loops of planning, execution, evaluation, and memory.
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## Why It Matters
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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.
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## Seed Question (goes to Leonard first)
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"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?"
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## Context Notes (background depth — NOT a script)
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- Loop engineering formalized by Addy Osmani (Jun 2026)
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- Reflexion pattern: generate → self-critique → revise → repeat until pass or cap
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- Separate verifier model/step now standard (don't let model grade its own output)
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- Andrew Ng's nested loops model (agentic coding, dev feedback, external feedback)
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- Cost control is a common failure point
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- Real use cases: Friday analytics summaries, overnight doc error sweeps, lead qual agents, recurring SEO audits
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- Risks: infinite loops, hallucination reinforcement, automation bias, security, goal drift, runaway autonomy
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## Format
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- 8 turns total (Leonard opens, then 4 exchanges each)
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- Leonard speaks first
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- Max tokens per turn: 250 (opening), 180 (remaining)
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- Let the conversation flow naturally after the seed question
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