Use cases.

How to get a prompt from "works in the demo" to "works on your data", one workflow at a time. Each guide covers what goes wrong, how to set the problem up so a search can fix it, the pitfalls to check before spending anything, and where to read more.

Routing and classification

How to qualify inbound leads with an LLM

Route inbound leads to accept, reject on fit, reject on timing, customer success or partners.

How to triage and escalate support tickets with an LLM

Send support tickets to the right queue, and escalate the ones that need it, from demo to production.

How to code accounts payable invoices to the general ledger with an LLM

Assign each accounts-payable invoice line to the right general-ledger account.

How to extract key terms from contracts with an LLM

Pull renewal dates, notice periods, caps and governing law out of contracts into fields you can use.

How to tag customer feedback against your own taxonomy with an LLM

Tag support conversations, reviews and survey answers against your own product taxonomy.

Cost and length

On promptcompression.ai.

How to make a prompt you already trust cheaper and faster ↗

The business case for compressing the template on every call: what it saves and what it costs to get there.

How to compress a prompt, end to end ↗

A worked run: the same program optimized for length with an accuracy floor, read on the hold-out.