Choose the Right AI Approach: Separate chat, automation, projects, research, and custom tools so each AI use case gets the right level of planning and effort.

Guide AI Conversations: Use interview-style prompting, fresh starts, and handoff summaries to guide AI through complex work without losing quality.

Run Practical AI Research: Scope deep research tasks, synthesize findings, and turn useful insights into decision-ready reports or project knowledge files.

Engineer Better Context: Provide roles, goals, constraints, examples, and business context that help AI produce specific, useful work instead of generic output.

Build Reusable AI Projects: Create reusable projects with instructions, knowledge files, templates, and examples for repeated business tasks you can confidently evaluate.