1 min lesson
Applying LLMs to GTM workflows
Name the key items in "Applying LLMs to GTM workflows", then explain why each one matters.
Step 1 of 2
Cursor sells an AI tool and screens hard for people who apply AI to real work. The bar here is not “I used ChatGPT.” It is “I shipped an LLM into a pipeline, measured it and knew when it was the wrong tool.”
Start with the jobs LLMs actually do well in GTM. Each one replaces hours of manual reading or writing with a prompt that runs per row.
- Lead classification - read a website or job post, output one label from a fixed ICP taxonomy.
- ICP-fit reasoning - weigh several messy signals into a fit assessment with a short rationale a human can audit.
- Message personalization - draft a first line from a verified detail, not a hallucinated one.
- Data cleanup - normalize job titles, standardize company names and infer industry where a field is blank.