# Context as the Scarce Resource

#concept

## Summary

Across sources, the binding constraint on agents is **context**, not model IQ. Managing it — what you load, when, and how long the agent stays sharp — is the core engineering discipline. Konstantin: the model has a **"smart zone"** (roughly the first third of context) where it's sharpest; beyond that it dulls, even with a million-token window.

## Current Understanding

Context pressure explains several otherwise-separate design choices:

- **Tool ceilings** — every injected tool costs context, so harnesses cap at ~30–40 tools and >100 confuses even Fable 5. See [[harness]].
- **Two-stage skill loading** — short descriptions always visible, long `SKILL.md` loaded on demand — is *the* trick that lets hundreds of [[skills-as-memory|skills]] coexist. See [[evolution-of-agent-tooling]].
- **Ralph loop** keeps the agent in the smart zone by restarting instead of letting context grow → summarize → decay. See [[agentic-loops]].
- **Skills-as-memory > RAG** — the harness decides what to load *when a skill activates*, rather than RAG pre-injecting facts before the model even starts.
- **Context engineering** (Allie) — "feeding the system who you are" via foundation docs — is the same idea from the user side. See [[personal-ai-operating-system]].

The human role has climbed prompt-engineer → **context-engineer** → harness-builder → loop-engineer, tracking exactly this concern.

**The supply-side facet** ([[2026-07-22-ai-is-stupid]]): before context is *scarce* it is usually *absent*. "Intelligence without context loses to context without intelligence" — ten Nobel laureates asked about your sales month can only cite industry averages, while your rank-and-file employee answers better because they see your funnel, clients, and deals. The default "stupid AI" experience is a strong model given neither business context nor a [[harness]]; the fix is investing in context infrastructure (data, memory, integrations) before reaching for a bigger model.

## Evidence

- Smart zone, summarization decay, "context is the most valuable resource," tool/skill loading mechanics — [[2026-07-14-skills-based-on-git]].
- Context engineering vs prompt engineering; foundation docs as durable context — [[2026-07-14-gap-between-ai-users-irreversible]].
- "Intelligence without context loses"; Nobel-vs-employee analogy; invest in context before model upgrades — [[2026-07-22-ai-is-stupid]].

## Related Pages

- Concepts: [[harness]], [[skills-as-memory]], [[agentic-loops]], [[evolution-of-agent-tooling]], [[personal-ai-operating-system]]
- Entities: [[konstantin]], [[allie-miller]]

## Contradictions / Uncertainty

- "First third = smart zone" is a heuristic, not a measured boundary; likely model-dependent. Status: tentative.
- [[2026-07-22-ai-is-stupid]] names **RAG** and long-term assistant memory as the practical context mechanisms; [[2026-07-14-skills-based-on-git]] argues [[skills-as-memory|skills]] beat RAG (load-on-activation vs pre-injection). Possibly audience-driven (business data vs procedures) rather than a real disagreement. Status: tentative.

## Next Questions

- How do you measure where a given model's smart zone actually ends?
