What Is AI Assistant Planning?
Planning an AI assistant is different from planning traditional software. You are defining not only functionality, but behavior, identity, and ethical boundaries of an agent that will act on your behalf.
Why Plan Before Coding?
In AI systems, the cost of late changes is much higher than in traditional software. Changing the architecture after memory, tools, and channels have been configured may require complex migrations.
- · Memory database schema
- · SOUL.md format
- · Base Tools interface
- · Channel authentication standard
- · AI model used
- · SOUL.md communication style
- · Adding new Tools
- · Channel settings
Defining Scope and Use Cases
Use the Jobs-to-be-Done technique to map what you want to delegate to the assistant. Be specific: "manage my email" is vague; "filter and categorize work emails, automatically responding to scheduling requests" is a concrete job.
Choosing the Right Claw Architecture
Use this decision tree to choose the right pattern based on your security, scale, and complexity requirements.
Identity Design and SOUL.md
SOUL.md is the most important document for your assistant. Give it serious time — a well-defined identity prevents inconsistent behavior and out-of-context responses.
4-Phase Development Roadmap
Don't try to build everything at once. Follow the 4 evolutionary phases to get an assistant working quickly and improve it with real feedback.