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Built an AI voice agent to handle both inbound and outbound business calls.
The agent can answer questions, qualify leads, collect caller information, book appointments, and transfer calls to a human when needed.
I also connected the voice workflow with the CRM so important call and lead information can be passed to the right system automatically.
The idea was to connect the conversation itself with the actions that happen after the call — from qualifying a lead to booking an appointment and keeping customer records updated.
The workflow can be adapted based on the business, conversation flow, and integrations required.
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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This is a short-form educational script about 3 AI tools that help save time in everyday workflows. I structured it with a strong hook, clear points, voiceover-ready writing, visual/B-roll suggestions, and a strong CTA to keep viewers engaged.
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The client wanted a simple way to manage new renovation leads and make sure no inquiry was missed.
I set up a HighLevel workflow that collects new leads, checks their budget, sorts them by priority, and sends a confirmation email right away.
The client also wanted follow up emails to stop when a lead replied, so I added that as well
After setting everything up, the client had a simple system that handled new leads automatically. Leads were captured, sorted by priority, contacted right away, and followed up without the team having to do it manually.
This helped the client save time, stay on top of new inquiries, and make sure good leads did not get missed.
The reply detection stopping the follow up sequence is the detail that separates a well built workflow from one that annoys leads into going cold. most people set up the follow up and forget to add the exit condition. that one addition alone changes how the whole system feels to the person on the receiving end
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.
