It's Hard Keeping Up with Curtis
After watching series "Systems Worth Amplifying" Here’s the latest systems upgrade I’m running: a stacked Marketing Council that delivers maximum strategic and tactical value with minimal token burn.
The Core Concept
Using ICM (Interpretable Context Methodology) as the foundational layer for Hermes and Pi agents. Clean folder structures, markdown context, and persistent files keep everything interpretable and framework-agnostic.
NotebookLM serves as the knowledge refinery: it ingests full books, frameworks, and top ideas from a host of marketing experts (Vaynerchuk, Godin, Cialdini, Donald Miller, Berger, Ries/Trout, and more). It distills them into structured, high-signal outputs — principles, tactics, quotes, integrations, and ready-to-use skills.
Hermes acts as the persistent orchestrator / “CEO” soul — handling long-term memory, brand modeling, ICM-based context, and the self-improving learning loop.
Lightweight Pi (Pi-mono) agents function as specialized council members — each embodying one expert or role with pre-loaded, distilled knowledge.
How the Council Works
  1. Feed the system your campaign/topic/brief.
  2. Hermes routes it to the relevant Pi specialists using ICM context.
  3. The “council” roundtables: each specialist contributes from their domain (attention & execution, tribes & permission, persuasion, storytelling, virality, positioning, etc.).
  4. Hermes synthesizes the debate, resolves creative tensions, and delivers a highly optimized final result with clear rationale from the stack.
This turns static expert knowledge into a living, collaborative marketing brain that compounds over time.
Why It Delivers Maximum Value at Minimal Tokens
  • ICM keeps context clean and interpretable (no bloated prompts).
  • NotebookLM preprocessing means agents get distilled essence, not raw books.
  • Narrow Pi specialists + smart delegation = tiny per-agent contexts.
  • Hermes learning loop turns repeated wins into reusable ICM skills.
It’s running live for campaign strategy, content systems, positioning, and offer optimization.
Who else is stacking experts into councils? What’s your current ICM + agent workflow, or biggest friction point with multi-expert synthesis?
Drop your setups or questions below — let’s build better systems together.
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David Vogel
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It's Hard Keeping Up with Curtis
Clief Notes
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Jake Van Clief, giving you the Cliff notes on the new AI age.
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