TheFocus.AI Labs
TheFocus.ai
EPILOG

Continue Your Journey

Further Explorations

Once you've built the core agent, here are paths to explore:

Connect Directly to Model Providers

Skip OpenRouter and connect directly to the source:

Provider Why Consider It
Anthropic API Direct Claude access, prompt caching, lower latency
Google AI Studio Gemini models, generous free tier, multimodal capabilities
OpenAI API GPT models, extensive ecosystem, fine-tuning options

Trade-off: Direct connections mean managing multiple API keys and SDKs, but you get provider-specific features and potentially lower costs.

Memory & Persistence

Approach What to Explore
Vector databases Pinecone, Chroma, or pgvector for semantic search over past conversations
RAG patterns Retrieve relevant context before generating responses
Long-term memory Remember user preferences and project context across sessions
Episodic memory "Remember when we fixed that bug last week?"

Multi-Model Strategies

Strategy When to Use
Model routing Cheap models for simple tasks, expensive ones for complex reasoning
Cascade patterns Try fast model first, fall back to powerful model if confidence is low
Ensemble approaches Multiple models vote on critical decisions
Specialized models Code models for code, general models for planning

Security & Sandboxing

Technique What It Provides
Docker isolation Run tools in containers that can't touch your real filesystem
Permission systems Require approval for dangerous operations
Capability tokens Limit what each session can access
Audit logging Track every action for security review

User Experience

Feature Implementation Ideas
Streaming responses Show partial output as it generates
Progress indicators "Searching 47 files..." feedback
Human-in-the-loop Approval workflows for destructive changes
Undo/rollback Git-based recovery from mistakes
Voice interface Speech-to-text input, text-to-speech output

Advanced Architectures

Pattern What to Research
MCP Integration Connect to the Model Context Protocol ecosystem
Team agents Multiple agents collaborating with different roles
Planning agents Separate planning from execution
Self-improvement Agents that update their own prompts and skills based on feedback
Evaluation loops Automated testing of agent behavior

Mission Complete

STATUS

All 11 operations completed

PROJECT

Weekend Coding Agent

DOC. NO: WCA-2025

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