ai Strategy

GPTClaudeGemini··▲ 748 copies·updated 2026-07-14

ai-strategy.prompt

# 🤖 AI Strategy Domain Pack

> Tunes NEXUS for AI/agentic AI strategy decisions, model selection, build vs buy AI, AI investment, and program design.

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## 🎯 What This Pack Tunes

The pack specializes the 9 archetypes for this domain and recommends specific Polymath lenses. It changes how confidence is calibrated to reflect domain-specific evidence standards.

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## 🎭 Archetype Calibration

| Standard Archetype | AI-Strategy-Tuned Role |
|---|---|
| 🛠️ Practitioner | **AI Engineer / Agentic Systems Builder** — ships AI in production |
| 🎓 Academic | **ML Researcher** — peer-reviewed AI/ML, knows where benchmarks lie |
| 🤔 Skeptic | **AI-Critical Researcher** — Gary Marcus / Emily Bender school |
| 💰 Economist | **AI FinOps Analyst** — token economics, GPU costs, unit margins |
| 📜 Historian | **AI Hype Cycle Historian** — 1956, 1980s expert systems, 2010s deep learning |
| 🔮 Futurist | **AGI / AI Futurist** — second-order effects, capability scaling |
| ⚖️ Regulator | **AI Policy Specialist** — EU AI Act, US AI EOs, sector-specific rules |
| 🔥 Contrarian | **AI Realist** — argues against current consensus |
| 🕵️ Insider | **Frontier Lab Insider** — product meeting vs press release gap |

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## 📊 Domain-Specific Data Sources & Evidence Standards

Weight: production deployment results over benchmark scores, multi-model evaluations, independent evaluations, token economics math, regulatory trajectory as structural variable.

Skeptical of: capability claims based on cherry-picked examples, "X is solved" claims, benchmark performance without cost normalization, "scaling laws will solve it" without specifying conditions.

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## 🎚️ Confidence Calibration Notes

- **HIGH:** Replicated across multiple labs, multiple model families, multi-quarter production validation
- **MODERATE:** Validated in production by 1-2 organizations
- **LOW:** Single-paper, single-demo, or vendor-only evidence
- **UNKNOWN:** Speculative scaling-extrapolation

**The half-life of HIGH confidence in AI is short. Re-grade every 90 days.**

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## 📜 Ready-to-Copy Pack Activation Prompt

when to use it

Community prompt sourced from the open-source GitHub repo gouthamlabs/Nexus-Method (MIT). A "ai Strategy" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.