The difference between context and prompt
There is a confusion we need to resolve: the confusion between prompt and context. A prompt is a point-in-time instruction. Context is a system composed of Agents that orchestrate, Rules that govern, and Skills that define concrete work. It's not an instruction — it's an information architecture.
| Dimension | Prompt | Context (Agents + Rules + Skills) |
|---|---|---|
| Scope | One interaction, one task. | The entire project. Multiple Agents, cross-cutting Rules, dozens of coordinated Skills. |
| Coherence | Each prompt is independent. | Rules guarantee coherence across all Agents and all Skills. |
| Identity | AI has no role. | Each Agent has identity, responsibilities, and limits. |
| Structure | Free text. | Architectural system: Agents with identity, Rules with hierarchy, Skills with dependencies. |
| Evolution | It's consumed and disappears. | Skills are created and completed; Rules evolve; Agents are calibrated. |
Why this distinction matters
The confusion between prompt and context is not semantic. It's the difference between giving someone a one-time instruction and building a system that produces consistent results over time.
A prompt works for isolated tasks: "summarize this document," "write this email," "generate this image." The moment you need multiple interactions that must be coherent with each other — that must share conventions, respect constraints, and produce outputs that work as a system — a prompt is insufficient.
A project that uses prompts instead of context produces outputs that are individually correct and collectively incoherent. Each interaction makes locally optimal decisions that are globally contradictory. This is not a failure of the AI. It's a failure of the context.
What it is: A long document without structure that gets copied into every interaction. There are no differentiated Agents, no explicit Rules, no self-contained Skills. It looks like context but behaves like a very long prompt.
What it produces: Without Rules, each interaction makes inconsistent decisions. Without defined Skills, tasks blend together. Without differentiated Agents, AI tries to be everything at once.
Quick diagnosis: If your context can't be separated into "Rules that apply to everything," "Agents that execute," and "Skills that define tasks," it's a long prompt, not a context.