Summary
Full Transcript
Good AI output isn't just about prompts, it's mainly about proper context. In this tutorial, you’ll see how to build an AI system that behaves. Always on brand, delivering consistent results. You’ll learn: 1. Why AI systems fail when they’re missing context 2. How to define the output first, then design inputs around it 3. How brand guidelines, visual references, and testing rules shape results 4. How to generate multiple controlled variations inside one category 5. How system prompts turn randomness into repeatable behavior You’ll also see what happens when context is missing, and why “sometimes it works” isn’t good enough for production. If you care about brand consistency, A/B testing, or building AI workflows that scale without losing control, this is a practical breakdown you can apply to almost any use case. ► Get the workflow featured in this video: https://tinyurl.com/2xbj9ymn ► Watch our system prompt tutorial: https://youtu.be/CW2FohzNxMI Chapters: 0:00 - Setting up our example 1:15 - Context in AI systems 1:45 - What happens without proper context 2:45 - Using the right context in your workflow 5:30 - Summary ▶️ More ways to learn 💬 Watch more tutorials: https://www.youtube.com/playlist?list=PLu0WpBQHUSql4tPg9BHzvp-7ajhDMRFBE 💬 Join the Discord community: https://discord.com/invite/vHWYkU5Sxw See the full Weavy workflow: https://app.weavy.ai/flow/WJ7ItvZApbfzCgBcpEi2Kl Start now: https://www.weavy.ai/
