Summary of record

An outreach about custom AI workflows led to a detailed discussion on specific improvements.

AI collaborationtechnical discussionfuture engagement
Outreach
[PERSON], saw you in my feed today! Many AI folks offer basic wrappers, but I build custom, agentic AI workflows with core ML expertise around Claude & OpenClaw. Interested in a chat for long-term collaboration?
Lead
Sounds interesting
Lead
Honestly, I assumed you'd already spotted the gaps in my public stack and were reaching out with specific improvements in mind, not just a general capabilities list. I'm always open to sharpening the engine. What would you actually build differently or better than what I've laid out publicly?
Lead
[PERSON], I appreciate you actually diving into the use case rather than just pitching a capability list. Good breakdown. Here is my read on your two points: The Agentic RAG for probabilistic fault diagnostics is a highly valid V2 feature. Cross-referencing VANCE’s symptom capture with inventory and specific tech skillsets is exactly where this infrastructure needs to go as we scale. Spot on. On bypassing the manual Slack review for >95% confidence emergencies—from a pure engineering standpoint, you are right. From a psychological sales standpoint, it’s a non-starter. The blue-collar operators we sell to do not trust autonomous dispatch yet. The Slack HITL (Human-in-the-loop) isn't a technical limitation; it’s a deliberate psychological safety net. That manual 'Approve/Reject' button is what gets a 5-truck operator to actually hand us the keys to their front door. Right now, our backend team is strictly locking down our V1 Postgres/n8n architecture for our Private Beta cohort. we are not changing the architecture this week. However, I am always looking to build a roster of elite engineering talent for our V2 rollout. Let's connect later in 2 to 3 months once our beta cohort is live and processing real-world volume. I'd be interested to hear how you'd structure the RAG database for point #1.
Lead
Sounds good

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