AI Consulting needs more than a polished demo. This article shares nine lessons from hundreds of AI Fire guides and workflow tests, covering proof, durable skills, agent control, verification, evaluation, business problems, measurable results, and client trust. 📌

We’ll Talk About:

• How to build proof before creating an AI Consulting portfolio
• Which AI Consulting skills remain useful as products change
• Why your experience improves the quality of AI results
• How to manage agents like workers instead of chatbots
• How to make every system verify its own work
• Why agents should receive limited access and permissions
• How to evaluate workflows across real examples
• How to find the business problem behind a requested feature
• How to connect each project  ...