Case studies
Three job postings, three AI prototypes
Real public job descriptions decoded into the product the company is implicitly asking someone to build. Use these as inspiration — or paste your own.
Hidden pain: Vendor reconciliation, cross-team handoffs, manual Looker reports, legacy Zendesk macros.
Best build: Reconciliation Copilot — AI agent that ingests vendor statements, flags exceptions, and drafts reply emails — replacing 60% of the manual rec workflow.
Hidden pain: Pipeline hygiene, attribution stitching across Salesforce + HubSpot, slow QBR prep.
Best build: Pipeline Truth Engine — Nightly LLM agent that cleans stage data, reconciles touchpoint history, and auto-drafts the QBR deck — saving the RevOps team a full week per quarter.
Hidden pain: Churn signals scattered across Gainsight, Intercom, and Slack; manual QBRs; no early-warning system.
Best build: Churn Early-Warning Console — Real-time dashboard scoring every account on health, with AI-generated save plays. Demoing it in the final-round interview becomes the offer.
Want to flip one of your own postings? Start here.