agent-builder

# Agent Builder Build AI agents for any domain - customer service, research, operations, creative work, or specialized business processes. ## The Core Philosophy > **The model already knows how to be an agent. Your job is to get out of the way.** An agent is not complex engineering. It's a simple loop that invites the model to act: ``` LOOP: Model sees: context + available capabilities Model decides: act or respond If act: execute capability, add result, continue If respond: return to user ``` **That's it.** The magic isn't in the code - it's in the model. Your code just provides the opportunity. ## The Three Elements ### 1. Capabilities (What can it DO?) Atomic actions the agent can perform: search, read, create, send, query, modify. **Design principle**: Start with 3-5 capabilities. Add more only when the agent consistently fails because a capability is missing. ### 2. Knowledge (What does it KNOW?) Domain expertise injected on-demand: policies, workflows, best practices, schemas. **Design principle**: Make knowledge available, not mandatory. Load it when relevant, not upfront. ### 3. Context (What has happened?) The conversation history - the thread connecting actions into coherent behavior. **Design principle**: Context is precious. Isolate noisy subtasks. Truncate verbose outputs. Protect clarity. ## Agent Design Thinking Before building, understand: - **Purpose**: What should this agent accomplish? - **Domain**: What world does it operate in? ...