Choose models by job shape
Creative synthesis, deterministic extraction, and long tool chains are not the same workload. This page should say that directly.
Model Strategy
Model strategy for AutoClaw operators.
Treat model choice as an operating layer, not a brand fetish. This page should help readers understand which model family fits the workload before they commit to a default setup.
Page framing
Teams rarely need one model forever. They need a clear way to reason about the tradeoffs.
worth comparing
3 families
reasoning, speed, and tool behavior shift by workload
without reworking the story
Hot-swap
the decision can stay separate from the deploy surface
prompt discipline
Operator-first
good launch pages describe the job before the model
Tags
ClaudeGPTGeminiModel routing
Highlights
What this page should make obvious.
Each detail page exists to reduce one category of uncertainty. The copy should be specific enough that the next product question is obvious.
Avoid reinstall logic
If the user changes their model preference, they should not feel like they are starting the whole product story over from zero.
Preserve room for future routing
Good messaging hints that model selection can evolve as the workflow matures inside AutoClaw.
Sequence
A simple three-step story for the page.
The structure should move from explanation to decision to the next useful product question without unnecessary detours.
01
Map tasks to model behavior
Explain which work benefits from stronger reasoning, lower latency, or more predictable tool usage.
02
Decide your default and fallback posture
Readers should understand what they want first, what they can switch to, and what should remain optional.
03
Put the winning setup into practice
The end of the page should feel like a confident product decision, not a brand handoff.
Questions this page should answer
Focus on decision quality, not jargon density.
- Which model family fits the most common agent workflows
- How teams can change direction without redoing the whole stack story
- Why model evaluation belongs before the deployment checkout step
What a stable model posture unlocks
The next move should feel like refinement, not a context switch.
- A cleaner default setup for the first real workflow
- Better alignment between tasks and model behavior
- Fewer resets as the team matures its usage
Next step
Have a model posture already?
Once the reasoning layer is clear, move on to skills and workflow packaging.