MoClaw Field Notes

Hands-on automation playbooks

Field notes from the MoClaw team. We compare the agent stack we run in production against the alternatives we evaluated and dropped. Production stories with real numbers, not vendor decks.

Articles (16)

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View article: Generative AI vs AI Agents vs Agentic AI
Generative AI vs AI Agents vs Agentic AI
Comparison · 12 min read ·

Generative AI vs AI Agents vs Agentic AI

Generative AI vs AI agents vs agentic AI: not a power ranking, but how much work each carries. Learn which layer your workflow needs and where each fits.

View article: Meta Skills AI, Explained
Meta Skills AI, Explained
Guide · 8 min read ·

Meta Skills AI, Explained

Meta skills in AI are agent patterns for creating, routing, and improving other skills, not a product from Meta the company. Here is what the term really means.

View article: Sakana Fugu and the End of Model Lock-In
Sakana Fugu and the End of Model Lock-In
Research · 12 min read ·

Sakana Fugu and the End of Model Lock-In

Sakana Fugu routes across frontier LLMs to kill model vendor lock-in. An honest look at the benchmark-vs-reality gap and what it leaves you owning.

View article: Claude Anthropic Skills, Explained
Claude Anthropic Skills, Explained
Guide · 9 min read ·

Claude Anthropic Skills, Explained

Claude Anthropic Skills are reusable SKILL.md folders that teach Claude a task once, so you stop re-explaining. How they differ from prompts, Tools, and MCP.

View article: What Autonomous AI Agents Should Handle
What Autonomous AI Agents Should Handle
Research · 11 min read ·

What Autonomous AI Agents Should Handle

Autonomous AI agents save time only when the task is clear, bounded, and reviewable. Learn what AI should handle alone and where people stay accountable.