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Before & After: GHL + TrackPod Webhook Fix 🔧
Client had a persistent execution error on their GoHighLevel workflow, the client name field wasn't mapping correctly to TrackPod, causing every order to fail.
Dug into the workflow, identified the root cause, rebuilt the webhook logic using custom code, and got delivery + collection orders flowing into TrackPod without errors.
Clean fix. Working system. Happy client. ✅
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Really clean and polished app design! The booking flow looks intuitive and the overall UI feels modern and easy to use. 👏
good work
Been working on a Web3 payment platform lately.
Built the wallet, token, payment, invoice, payment request, payment page, network, and transaction history flows.
Still polishing the product and learning a lot along the way.
Next up: blockchain analytics. 🚀
cool I would like to check out the platform when you launch it!
AI Assistant Using Your Business Knowledge Base — RAG on Your Documents
THE PROBLEM
Q&A bots break down when knowledge lives in documents: a 100-page manual has no "questions" to match, it can't fit into a prompt, and generic chatbots hallucinate instead of admitting what they don't know.
THE SOLUTION
A RAG (Retrieval-Augmented Generation) knowledge base: documents are split into meaningful chunks, embedded into a vector index, and the assistant answers from the right sections — by meaning, not keywords.
Any format as-is: PDF, DOCX, TXT, Markdown — 100+ pages is fine
Answers grounded in YOUR documents — it says "I don't have that information" rather than inventing
Source references — every answer shows which document and section it came from
Runs on your infrastructure — documents never leave your control
One command to re-index after updating documents — documented, no programmer needed
LIVE DEMO
Ask it about my products, pricing, deployment and support — it answers from 6 real documents with sources:
https://kb-assistant-demo.dvc-ai.workers.dev
The 'I don't have that information' line is the part most RAG builds skip, and it's the one that matters. How do you set the cutoff? On mine, a fixed similarity threshold broke once I filtered results by user role. Scores shifted and it refused questions it could answer.