Why AI Prompt Discipline Fails Without Structural Enforcement

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A satirical rewrite of the Agile Manifesto for the large language model era, called The Token Manifesto, argues that poor AI performance stems from mismanaged context windows rather than bad prompts. Its core values emphasize brevity, examples over explanation, incremental refinement, and structured outputs to avoid wasting finite, costly token resources. The piece resonates with developers who recognize a deeper problem: teams agree to lean, disciplined prompt practices but gradually abandon them under real-world pressures. This mirrors a classic software failure where two sources of truth — a spec and actual running config — drift apart through small, reasonable exceptions over time. One proposed solution, illustrated by the Barbacane gateway framework, is to make the API specification itself the executable artifact, eliminating any parallel configuration surface where inconsistency can take root.

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