Give the Boring Work to the Cheap Model: The Haiku 5.5 Playbook

The price drop that changes the math

Anthropic's smallest model, Claude Haiku 5.5, got a major upgrade this week. It now costs 10 cents per million input tokens, matching OpenAI's GPT 6 Luna to the penny. Anthropic says the average job runs about 75 percent cheaper than the last Haiku, and up to 90 percent cheaper on short requests. They also halved the price of Sonnet 5.5's cache reads.

For scale, a million tokens is roughly the first five Harry Potter books. A dime now buys an AI that reads all five. The takeaway for founders: routine AI work no longer has to cost real money. It can cost pennies, as long as you route it to the right model.

The Neuron: Claude Haiku 5.5 pricing (Oct 8, 2026) · The Rundown AI: Claude Haiku 5.5 workflows, pricing, and when to use it

The workflow: a manager and an assistant

The Rundown AI laid out the playbook this week, and it is the same pattern I use with my own team: the strong model directs, the fast model executes.

The setup works like this:

1. Open a clean practice folder with sample tasks, like sorting customer messages into categories, and define which cases need a human's review.

2. Keep Sonnet as your main model. Ask it to create a Haiku helper that reads the task and suggests routes, without editing files or contacting anyone.

3. Have the helper sort one small batch. Verify every item appears once, with a quote from its source so you can check its work.

4. Give Sonnet only the flagged messages and their original text. Ask for review notes. Leave refunds, replies, and account changes to a person.

5. Compare the result with a Sonnet only run. Count errors, editing time, and usage across both stages before choosing which approach to keep.

Pro tip: start with one helper for a small batch rather than one agent per message. You can always scale up once the pattern works.

Where I would use this tomorrow

Sorting inbound DMs and lead messages by intent: buyer, collaborator, fan, spam. Review the flagged ones yourself. That is a daily task every growing creator has.

Categorizing expenses and receipts at the end of the week, with a human check on anything unusual.

Drafting first pass captions, outreach lists, and hashtag sets, then applying my own quality filter before anything ships. Remember the slop grenade rule: the model drafts, you direct.

Stop sending slop grenades: the AI quality rule that wins clients