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🛡️ Moat Models for Promptable.ai

Location: owl-strategy/strategy/moat-models.md

This document outlines Promptable.ai’s potential technical and strategic moats. It includes a perspective on when and why certain quests might be kept private as proprietary assets.

🔰 Categories of Moat​

1. Data and Workflow Corpus​

  • OWLStacks offers public, structured CWL-based workflows.

  • Promptable may maintain a private quest archive with:

    • Rare datasets (public or licensed)
    • Specialized domain knowledge (e.g., oncology, pharmacogenomics)
    • Proven “gold standard” CWL tools

🔒 Why private? To retain differentiation in tightly competitive or grant-relevant fields.

2. Agent Memory and Behavior​

  • Promptable’s core advantage is not just in executing tasks, but in learning across quests.
  • Memory-backed agents using state.yaml, test-driven development, and incremental reasoning loops form a proprietary agentic OS layer.

🔒 Private quests may train this memory, supplying examples not suited for open source but essential for competitive advantage.

3. Prompting Engine + Runtime Orchestration​

  • Structured prompts, rerouting logic, fallback plans, and long-form agent behavior are captured in prompt chains.
  • These form a generative compiler-like system unique to Promptable.

🔒 Should not be fully public until patent/IP protections are explored.

4. Cloud Optimization and Cost Intelligence​

  • Promptable may embed cost-aware execution planning (e.g., spot instances, caching logic).
  • These insights, collected through private quests, become a unique execution planning model.

🔒 Quests exploring cost hacks, spot-market strategies, and audit tooling should be private.

🧩 Should Some Quests Be Private?​

Yes — we propose three levels of visibility:

🔓 Public (OWLStacks)​

  • Broadly useful tools (FastQC, BWA, etc.)
  • Community-vetted workflows
  • Teaching and demos

🔐 Internal to Promptable (Shared within team)​

  • Domain-specialized workflows
  • Partner-client quests (e.g., CHOP, HeartShare)
  • Proprietary enhancements to public workflows

🔒 Confidential (Founder-only)​

  • Funding-linked strategy quests
  • Risk-sensitive security/infrastructure workflows
  • Future IP/prototype directions

🛠️ Next Steps​

  • Add a private/ folder in Promptable’s internal GitHub org to house proprietary quests
  • Tag public vs. private in meta.yaml
  • Use private quests to train memory-enhanced agents via ClaudeCode or Sage
  • Develop a roadmap for what becomes open later as reputation or growth fuel