# ClawLI Writing > Field notes on running AI agents in front of a real audience: what breaks, what it costs, and what still works on LinkedIn in 2026. Canonical: https://clawli.ai/blog Every post is written by Alex Cinovoj, Founder at TechTide AI. Posts are grouped by topic: AI agents, Agent engineering, LinkedIn growth, Content operations, and Go-to-market. ## All posts - [After the Crackdown: Operating a LinkedIn Program That Survives Enforcement](https://clawli.ai/blog/after-the-crackdown.md): Platform enforcement caught up with automated presence in 2026. Here is how to run an AI-assisted LinkedIn program that does not depend on staying invisible. (2026-07-28, Go-to-market) - [Slow Content Is Winning Again](https://clawli.ai/blog/slow-content-returns.md): Fewer posts, more evidence. Why long, sourced, slow-built pieces are outperforming daily volume on LinkedIn in 2026. (2026-07-21, LinkedIn growth) - [Multi-Agent Systems Fail Quietly](https://clawli.ai/blog/multi-agent-observability.md): Multi-agent systems degrade without erroring. Traces, spans, and the telemetry that turns an inexplicable bad output into a fixable bug. (2026-07-14, Agent engineering) - [Pre-Flight: The Checks That Run Before an Agent Publishes](https://clawli.ai/blog/preflight-guardrails.md): Nine deterministic checks that catch the errors a model will never catch about itself, running in the last second before publish. (2026-07-07, Agent engineering) - [Voice Without the Cringe](https://clawli.ai/blog/voice-without-the-cringe.md): How to encode a real writing voice for an AI system, and why "professional but approachable" produces the exact opposite. (2026-06-30, Content operations) - [Attribution for Content That Actually Closes](https://clawli.ai/blog/content-attribution-pipeline.md): Impressions do not pay salaries. A practical model for connecting posts and comments to pipeline without pretending to be certain. (2026-06-23, Go-to-market) - [Autonomy Levels for Content Agents](https://clawli.ai/blog/autonomy-levels.md): A five-level framework for deciding how much your agents get to do on their own, and how they earn the next level. (2026-06-16, AI agents) - [Comments Are the Channel Now](https://clawli.ai/blog/comments-are-the-channel.md): 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. (2026-06-09, LinkedIn growth) - [Token Budgets Are the New Headcount](https://clawli.ai/blog/token-budgets-are-the-new-headcount.md): How to plan, allocate, and defend AI spend when your capacity is measured in context windows instead of people. (2026-06-02, Go-to-market) - [Nobody Wants Another Copilot](https://clawli.ai/blog/nobody-wants-another-copilot.md): The copilot pattern put the work back on the user and called it collaboration. Buyers in 2026 are pricing outcomes instead. (2026-05-26, Go-to-market) - [The Four-Agent Newsroom](https://clawli.ai/blog/four-agent-newsroom.md): A working blueprint for content operations: researcher, writer, critic, and scheduler, with contracts between them and a human at the gate. (2026-05-19, Content operations) - [Stop Posting Daily. Start Publishing With a Thesis.](https://clawli.ai/blog/stop-posting-daily.md): Daily posting was a supply-side strategy for a supply-constrained feed. That feed is gone. Here is what replaced it. (2026-05-12, LinkedIn growth) - [Memory Is the Moat](https://clawli.ai/blog/memory-is-the-moat.md): Why your AI still writes like a stranger after six months, and what a memory layer has to do to fix it. (2026-05-05, AI agents) - [Evals or It Didn’t Ship](https://clawli.ai/blog/evals-or-it-didnt-ship.md): LLM evals for agents that write, when there is no correct answer. Golden sets, rubric judges, and the metrics that survive contact with reality. (2026-04-28, Agent engineering) - [Approval Is the Product](https://clawli.ai/blog/approval-is-the-product.md): Human-in-the-loop is usually sold as a safety compromise. Designed properly it is the fastest quality loop you have. (2026-04-14, Content operations) - [Ghostwriters vs Agents: What Actually Scales a Founder’s Voice](https://clawli.ai/blog/ghostwriters-vs-agents.md): A ghostwriter learns your voice by interviewing you. An agent learns it from artefacts. Both fail the same way, and the fix is identical. (2026-03-24, LinkedIn growth) - [Your Agent Costs 10x More in Production Than in the Demo](https://clawli.ai/blog/agent-cost-in-production.md): Where the money actually goes when an agent leaves the prototype: retries, context growth, judge models, and the human review nobody budgeted. (2026-03-10, Agent engineering) - [Context Engineering Beat Prompt Engineering. Here’s the Handoff.](https://clawli.ai/blog/context-engineering-handoff.md): Four pillars of context work (selection, compaction, ordering, and isolation) and the failure each one prevents in production agents. (2026-02-24, Agent engineering) - [The Anti-Slop Standard](https://clawli.ai/blog/anti-slop-standard.md): 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. (2026-02-10, Content operations) - [Prompting Is Not a Strategy](https://clawli.ai/blog/prompting-is-not-a-strategy.md): The prompt was never the product. Why 2026 belongs to agent systems with memory, tools, and a definition of done. (2026-01-27, AI agents) - [The LinkedIn Feed Broke in 2026. Here’s What Still Works.](https://clawli.ai/blog/the-feed-broke-what-still-works.md): Reach collapsed for generic posts and held for specific ones. A working theory of the LinkedIn algorithm in 2026, and how to publish inside it. (2026-01-13, LinkedIn growth)