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It once gave an answer that was technically true but unhelpful.
Trained only on documentation, it answered correctly but missed the tone and specificity a real support rep would give. Retraining on actual past conversations fixed the gap.
→ Correct isn't the same as helpful. Worth the extra training pass.
Seeing the model learn from real tickets really narrows the gap between factual accuracy and the human touch you need for support.
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So I Recently rebranded my upcoming AI Agent Harness from "Crank" to "Pixie" which is the name of my cat. Do you think it was the right decision?
Which one do you prefer? Crank or Pixie?!
Check it out here: pixie.ecnivs.com
#FreelancerLife #AIHarness #FrontendDesign #AIAgent #ArtificialIntelligence #WebDevelopment #Design #TasteTest
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Pixie gets my vote too. Naming it after your cat makes it memorable, and it feels a lot friendlier for a tool people trust with their code. Nice rebrand.
Bridge — Helps conversation coaches eliminate hours of manual qualification by turning emotional inquiries into confirmed, fully prepared bookings.
Video: User flow and the professional Dashboard.
great work!!
"Businesses lose time and money to invoice errors that go unnoticed until it's too late. I built an automated pipeline that extracts invoice data, cross-checks it against vendor history, and flags anomalies with clear AI-generated reasoning — all visualized in a real-time dashboard. Stack: LangChain, Groq, n8n, FastAPI, Next.js."
