Most AI lead processing flows in underwriting should be deterministic first. Use Claude, GPT-5, Grok, or Qwen for messy extraction, then hand off to e
I knew this was worth writing when I saw a Reddit thread describing an “AI lead processing agent” for underwriting.
The job sounded fancy until you translated it into actual steps:
Watch an inbox
Extract business name + monthly deposits
Check Salesforce, HubSpot, or a custom CRM/CMR
A practical walkthrough of using Hermes Agent for lead generation, from ICP filtering and web research to qualification, scoring,…
I've built a lot of AI demos that looked impressive in a notebook and fell apart in production. The...
A practical security architecture for governing employee AI usage and building a production AI agent with identity, permissions,…
Build AI agents for complex, long-running engineering tasks. Learn key patterns from a case study: accelerating LLM inference…
Last week I made a claim: your AI assistant can't actually read your pipeline. A lot of people...
ags: showdev javascript ai buildinpublic There's a stat that's been stuck in my head for...
