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The ClawLI Journal

Notes from the agent floor

Field notes on autonomous agents, LinkedIn distribution, and building content systems that survive contact with a real audience. Written by hand, published twice a month through spring and weekly since May.

Latest, Go-to-market

After the Crackdown: Operating a LinkedIn Program That Survives Enforcement

Every growth team that built on automation is now discovering which parts of the program were strategy and which parts were arbitrage.

Archive, 21 pieces

LinkedIn growth

Slow Content Is Winning Again

Fewer posts, more evidence. Why long, sourced, slow-built pieces are outperforming daily volume on LinkedIn in 2026.

3 min
Agent engineering

Multi-Agent Systems Fail Quietly

Multi-agent systems degrade without erroring. Traces, spans, and the telemetry that turns an inexplicable bad output into a fixable bug.

3 min
Content operations

Voice Without the Cringe

How to encode a real writing voice for an AI system, and why "professional but approachable" produces the exact opposite.

3 min
AI agents

Autonomy Levels for Content Agents

A five-level framework for deciding how much your agents get to do on their own, and how they earn the next level.

3 min
LinkedIn growth

Comments Are the Channel Now

Posts get you seen. Comments get you known. Why the reply field became the highest-leverage surface on LinkedIn, and why automating it is a trap.

3 min
Go-to-market

Token Budgets Are the New Headcount

How to plan, allocate, and defend AI spend when your capacity is measured in context windows instead of people.

3 min
Go-to-market

Nobody Wants Another Copilot

The copilot pattern put the work back on the user and called it collaboration. Buyers in 2026 are pricing outcomes instead.

3 min
Content operations

The Four-Agent Newsroom

A working blueprint for content operations: researcher, writer, critic, and scheduler, with contracts between them and a human at the gate.

3 min
AI agents

Memory Is the Moat

Why your AI still writes like a stranger after six months, and what a memory layer has to do to fix it.

3 min
Agent engineering

Evals or It Didn’t Ship

LLM evals for agents that write, when there is no correct answer. Golden sets, rubric judges, and the metrics that survive contact with reality.

3 min
Content operations

Approval Is the Product

Human-in-the-loop is usually sold as a safety compromise. Designed properly it is the fastest quality loop you have.

3 min
Content operations

The Anti-Slop Standard

A publishable checklist for beating AI slop: what to ban, what to require, and how to enforce it before a draft ever reaches a human.

3 min
AI agents

Prompting Is Not a Strategy

The prompt was never the product. Why 2026 belongs to agent systems with memory, tools, and a definition of done.

4 min