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Insights & guides
for LinkedIn automation.
Insights and guides on running LinkedIn through an API, done properly, platform limits with sources, what makes agents reliable, how an API-first operation actually works. Every number is labelled and re-checked before publish.
16 articles
Ponytail vs Caveman: Claude Code token savings, tested
Advertised 65% and 54%, measured 8.5% and 15%. Where a coding agent's tokens actually go.
Read the articleClaude Code vs Codex pricing in 2026: what you actually pay
Same sticker prices, very different bills. Plans, usage limits, API rates and the cost per solved task.
Read the articleLinkedIn limits in 2026: documented vs folklore
Every limit that matters, labelled by whether LinkedIn actually documents it. Several famous numbers did not survive the check.
Read the articleWhy AI agents need an API, not a browser
The engineering case: determinism, structured errors, rate-limit visibility and events are what make agents dependable.
Read the article