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Vibe coding has made it easier than ever to turn an idea into a working website, app, or internal tool.
But building the product is only one part of the process.
The real value comes when you connect that product to the systems running your business.
Imagine a website that automatically captures leads, qualifies them with AI, sends personalized follow-ups, updates your CRM, notifies your team, and tracks everything without someone manually moving data from one platform to another.
That’s where vibe coding meets AI automation.
You can use vibe coding to build the front-end experience and custom tools your business needs, then use automation to connect those tools with your CRM, email, databases, payment systems, and other business processes.
#AIAutomation #VibeCoding #BusinessAutomation #Automation #NoCode #LowCode #WorkflowAutomation #AITools #SaaS #Productivity
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
The isometric integration map as the hero does a lot of heavy lifting, it makes an abstract on-call product feel tangible at a glance instead of a wall of logos.
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.