Customize Your AI Agent’s Brain: Context, Memory & Tools | Workshop Ep.8
Are you using the same AI model settings for every task? 🧠⚙️
Anna lets you see and customize how your AI agent uses its “brain” — from context, memory, tools, and system rules to output space and runtime settings.
In this workshop, we introduce Anna’s new Model Customization feature, explain what a context window really is, and show why a bigger context window does not automatically make an agent better.
✅ WORKSHOP HIGHLIGHTS:
Model Customization: Personalize how Anna allocates model space.
Context Window: What the model can consider at one time.
Context Allocation: Output reserve, system prompt, tools, memory, and current turn.
Memory vs. Sliding Window: Compressed summaries vs. recent raw conversation.
Advanced Settings: Temperature, cost, max output, and reverting to default.
📍 TIMESTAMPS:
00:00 Anna’s New Model Customization Feature
00:55 Why Model Parameters Matter
01:20 Context Window Explained
02:45 The Desk Analogy: Why Bigger Is Not Always Better
03:35 How Anna Divides Context Space
05:35 Customizing Anna for Your Workflow
06:40 Temperature, Cost, Max Output & Defaults
07:05 Final Recap & Discord Community
🛠️ RESOURCES:
🔗 Try Anna for FREE: https://anna.partners/
🐦 Follow the Build on X: https://x.com/Anna_Partners
💬 Join our Community: / discord