Cost Control: Model Routing and Effort Tiers
Route work to the cheapest model that can do it and match reasoning effort to task difficulty - with quality guardrails.
The Route
0/4 verifiedProfile spend by call class
Find where the money actually goes before moving anything.
Build the routing table and wire it
One table, consulted by every call.
Add escalation on failure
Cheap first, strong on evidence of need.
Guard quality and report the savings
The eval is what makes cost optimization safe.
Context Pack
Paste this first. It briefs the AI on requirements, constraints, and the Definition of Done before your first build prompt.
Paste this into your AI builder first. It teaches the AI what you want before you give it the build prompt.
Related routes
More Harness Engineering flows that share ground with this one.
Assemble Tool Prompts Dynamically per Environment
Stop shipping one static mega-prompt: generate tool prompts from environment conditions, inject blocks only when features are on, and dedupe config to save tokens.
+1 more steps to Done
Best forproduction-grade builds with strict verification
Design Layered Tool Prompts with Preference Chains
Structure your tool prompts the way the leading harness does: preference chains up front, usage constraints in the middle, NEVER-guarded safety protocols at the end.
+1 more steps to Done
Best forbuilders who have shipped a basic app before
Design the Permission Approval UX
Design approval prompts users actually read: diffs, risk framing, scoped grants, and pacing that prevents approval fatigue.
+1 more steps to Done
Best forbuilders who have shipped a basic app before