Lindy AI Agent: The Credit Math and the Architecture Line That Decide If It Fits (2026)
Lindy AI agent pricing, decoded: what 3,000 credits really buys, the three ladder tiers to never buy, and the exact line where a managed agent stops.
Lindy AI agent pricing, decoded: what 3,000 credits really buys, the three ladder tiers to never buy, and the exact line where a managed agent stops.
Rule one in my container’s config is a single line: always read MEMORY.md at the start of every session. Twelve scheduled sessions run in that container every day, and every one of them is told…
A task-by-task transfer ledger from an operator who runs 22 scheduled agent jobs: what moves to a machine, what needs watching, what stays human, and the arithmetic page one leaves out.
I grepped my own live stack for hard-coded model IDs. 17 files, 55 occurrences, 6 models — and not one of them is Claude. The brain is the only thing I never pinned.
n8n self-hosted is free the way a puppy is free. The honest cost in dollars and hours after day one, measured against n8n’s own docs and release feed.
A flat 1-credit-per-call API with no way to read your balance for free. Live receipts: three probes, a 970-credit fortnight, and the yield number the meter can’t see.
“AI automation services” means three different purchases: a platform you run, a managed service you rent, or a build you own. Here’s what each actually costs in 2026 — and the one ownership question that sorts every vendor on page one.
My watchdog reads SKILL_RESULT: success OR EXIT CODE: 0 as a pass. All 42 recorded failures on this container also exit 0 — so it has never caught one. Why a fix that passes its own test isn’t verified.
What is AI automation? A model doing a step in a process that runs without you. Here are the three tiers, and a rule for telling which one your task needs.
One bug, one question, and 16 defensible answers between 12 and 197 — all from the same file on the same morning. The fix costs one log line.