Every Agent Spend & Pricing comparison and buyer's guide for building AI agents — 14 pieces and counting. Each is a head-to-head or a “best X for Y” roundup with a sources-backed verdict.
Rippling shipped an AI Spend Console on Aug 7 after its own token spend compounded toward the size of its entire R&D payroll. A solo founder can't buy the tool, but the four controls it enforces are the ones your bill needs today.
4 min
Every month a cheaper model ships and the group chat says 'switch.' The rate card is the wrong number to switch on: an agent's real cost is tokens-per-task times price times a retry penalty, and only one of those three is on the pricing page. Here's the reusable test — freeze your tasks, measure completed-task cost, decide in an afternoon — with Gemini 3.6 vs 3.5 Flash as the worked example.
4 min
The headline '$/1M tokens' number is the one you'll budget on and the one that's wrong. Here are the six things a model's pricing page hides — and the questions that turn a sticker price into your actual bill.
5 min
Your cost floats with token usage; your price is usually a fixed number. That mismatch is where AI startups quietly go underwater. Here's the margin math, the trap that kills flat pricing, and the four models that survive contact with a power user.
6 min
HubSpot put its AI agents in a no-code console on July 23 — but the number a founder should read is the price tag: $1 per recommended lead, and you don't pay the support agent until it closes the ticket.
4 min
In-memory `total += cost` is a budget a crash-loop resets to zero. Here's the durable, atomic daily ledger an autonomous agent physically cannot spend past.
6 min
Four vendors are undercutting each other on the same week, and the pricing pages are lying to you. The number that decides your bill isn't dollars-per-token — it's dollars-per-completed-run. Here's how to measure it before you switch.
4 min
Per-seat pricing pays you to under-deliver — the better your agent works, the fewer seats a buyer needs. Here's how to choose the model that doesn't fight your own product.
4 min
You picked a usage or hybrid price. Now you have to count things accurately, survive retries, and produce an invoice a customer won't dispute. Here's the plumbing — with the idempotency bug that quietly double-charges everyone.
4 min
In ten days Google put image and video generation at rounding-error prices, and OpenAI demoed full-duplex voice. Two of those three are things you can put in a product this week. One isn't — and knowing which is the whole decision.
4 min
The parameter everyone reaches for limits the size of one reply. Agent bills don't blow up on reply size — they blow up on the number of replies. Cap the loop, not the token.
5 min
An agent can't enforce its own budget, because the runaway loop is the failure. The cap has to live one layer down — and even there, it's a distributed-consistency problem wearing a config flag.
5 min
Gartner says purpose-built agent software more than doubles to $206.5B this year. The same firm says 40%+ of agentic projects get canceled. Both numbers are true, and they're the same story.
3 min
Every pricing model for an AI agent is really a decision about who absorbs the inference bill — and the floor under any outcome price is the cost of producing that outcome.
5 minNot buyer's guides — the news, teardowns, and explainers behind this topic.