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Build an AI sales assistant with Botpress, Claude AI, RAG and Pipedrive CRM.
In this video I show how to build an AI assistant that can:
✅ Answer customer questions using a knowledge base
✅ Qualify leads & book appointments
✅ Remember conversations and context
✅ Update customer data in Pipedrive
✅ Generate AI‑powered customer summaries
✅ Automate sales workflows
Tools: Botpress • Claude AI • RAG • Pipedrive • AI Automation
This is perfect, for businesses that want to automate sales, customer support and CRM workflows.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Related posts
Build an AI sales assistant with Botpress, Claude AI, RAG and Pipedrive CRM.
In this video I show how to build an AI assistant that can:
✅ Answer customer questions using a knowledge base
✅ Qualify leads & book appointments
✅ Remember conversations and context
✅ Update customer data in Pipedrive
✅ Generate AI‑powered customer summaries
✅ Automate sales workflows
Tools: Botpress • Claude AI • RAG • Pipedrive • AI Automation
This is perfect, for businesses that want to automate sales, customer support and CRM workflows.
Been building full client funnels with AI lately, not just landing pages or quick prototypes.
The interesting part isn’t how fast you can generate the page.
It’s everything behind it: forms, calendars, CRM fields, follow-ups, confirmations, and making sure the whole journey actually works.
AI speeds up a lot of the execution, but it also makes testing and thinking through the full flow way more important.
Curious if anyone else here is using AI for complete client systems instead of isolated pages.
Built this fully automated AI video pipeline — from script to finished, published video, zero manual editing.
I mapped out and built an end-to-end n8n workflow that takes a topic and turns it into a complete video: AI writes the script, generates the voiceover, creates the visuals, auto-syncs captions, assembles everything, then stores and logs it automatically.
The hardest part wasn't any single step — it was getting all the tools to talk to each other cleanly. Each stage had to pass the right data to the next without breaking, so one failed generation wouldn't quietly kill the whole run. Lots of trial, error, and rebuilding connections until it just... worked.
End result: a system that can produce content on autopilot, at a scale a person doing it manually never could.
