Add a Plan/Todo System to Your Agent
Give your agent the planning discipline of the leading harnesses: an explicit, model-visible todo list that survives long tasks.
The Route
0/4 verifiedDesign the todo data model and tool
Structured plans beat prose plans because the harness can enforce them.
Render the plan into context every turn
A plan the model cannot see is a plan it will not follow.
Enforce plan-first and completion gates
The two gates that turn a todo list into reliability.
Test the full planning lifecycle
Prove the plan survives execution, failure, and resumption.
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 Agent Architecture flows that share ground with this one.
Design a Single-Loop Agent
Build the core agent loop the leading coding agents use: one model, one loop, tools in, results folded back into context.
+2 more steps to Done
Best forproduction-grade builds with strict verification
Assemble a System Prompt Like the Pros
Structure your agent's system prompt the way leading harnesses do: layered sections, dynamic context, and enforceable rules.
+1 more steps to Done
Best forbuilders who have shipped a basic app before
Error Recovery and Retry Policy for the Agent Loop
Design the retry, backoff, and give-up behavior that separates production agents from demos that loop forever.
+1 more steps to Done
Best forbuilders who have shipped a basic app before