Blog Archive
Building a Meta-Agent: The Gemini 3 Orchestrator of Orchestrators
A meta-agent is a higher-order agent that operates on other agents. Learn the orchestrator-of-orchestrators pattern: hierarchical planning, sub-agent split, lazy tool discovery, and Git-like execution traces.
Human-Agent Collaboration: Designing UIs for Gemini 3 "Co-Pilot" Modes
A copilot UI is not a chat UI with autonomy bolted on. Learn the seven agent UI patterns, autonomy as a design decision, approval gates that dont train users to click through, and the AG-UI/A2UI protocol stack.
Hyper-Personalized SLMs: Local Fine-Tuning of Gemini 3 Nano Models
A model that runs on-device still has to be trained somewhere. Learn to fine-tune Nano SLMs locally with LoRA, QLoRA, MeSP, and GradCut — without ever shipping user data to the cloud.
Wasm-Powered Agents: Running Secure Gemini 3 Nano Logic in the Browser
Ship an entire AI agent as a single HTML file. Learn the Wasm-powered agent pattern: Pyodide vs WebLLM, sandboxing agent-generated code in WASM kernels, and wiring MCP tools from a browser tab.
Multi-Modal RAG for Video: Using Gemini 3 to Build Searchable 4K Video Knowledge Bases
Transcription-only video search throws away the pixels. Learn to embed video natively with Gemini Embedding 2, chunk with overlap, truncate with Matryoshka, and return trimmed clips on a text match.
The "Browser-as-a-Tool" Pattern: How Gemini 3 Agents Navigate the Visual Web
Most valuable data lives behind a browser, not an API. Learn the browser-as-a-tool pattern: the three-layer architecture, DOM vs screenshot grounding, surface contracts, and sandboxing for Gemini 3 agents.
Agentic SEO: Preparing Content for Gemini 3's Multimodal Search Browsers
Search is becoming an AI operating system. Learn how to make your content discoverable, trustworthy, and actionable for Gemini 3 multimodal search agents.
The Self-Improving Codebase: Gemini 3 Agents that Refactor Based on Performance Logs
Self-improving agents edit their own harness based on mined execution traces. Learn the mine-propose-validate loop with Gemini 3 and strict regression gates.
Securing Agent Communications: Encryption Strategies for the Gemini 3 Mesh
Agent-to-agent communication is the new attack surface. Learn encryption strategies for the Gemini 3 mesh: AgentCards, mTLS, E2E payload encryption, and replay protection.
Collaborative Coding: Leading a Team of Autonomous Gemini 3 Junior Developers
The junior-developer rung has been digitized. Learn how to orchestrate, review, and govern a team of autonomous Gemini 3 coding agents in 2026.
The "Audit Log" Pattern: Forensic Analysis of Gemini 3 Reasoning Chains
Debugging agents means auditing reasoning, not stack traces. Build a tamper-evident audit log of Gemini 3 reasoning chains for forensics and compliance.
The Rise of Nano-3: Why Small Models are the New Standard for Mobile Intelligence
Gemini Nano v3 is the most capable on-device model Google has shipped. Learn why SLMs are the new mobile standard and how to build with AICore and ML Kit GenAI.