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.
The Route
0/4 verifiedDecompose the current prompt
Name every instruction's job before deciding where it lives.
Build the section-based assembler
Prompts as code: composable, reviewable, and measurable.
Pair rules with enforcement
A rule the harness cannot check is a wish.
Ablate to prove section value
Measure the prompt like a system, not a spell.
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
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.
+1 more steps to Done
Best forbuilders who have shipped a basic app before
Sub-Agent Delegation with Context Isolation
Delegate bounded work to sub-agents that run in fresh context and return only distilled results - the pattern behind scalable long tasks.
+1 more steps to Done
Best forproduction-grade builds with strict verification