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Built and tested a GoHighLevel dental appointment funnel with a landing page, calendar booking, confirmation page, CRM contact creation, email reminders, and SMS reminders. The funnel was published and tested as a client-ready portfolio build designed to help dental clinics organize appointment inquiries and reduce manual follow-up. This is a demo portfolio project, not a paid client project.
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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Clean and well-presented design!
🎬 Built a Conversational AI Cinema Booking Agent with n8n
I built this as a hands-on project to explore how AI agents, tool calling, and workflow automation can work together in a real-world booking process.
The agent can:
• Browse movies, showtimes, prices, and trailers
• Check seat availability
• Validate customer emails
• Generate unique Booking IDs
• Update movie inventory in Google Sheets
• Store booking records
• Send confirmation emails
• Retrieve bookings using Booking IDs
Tech stack: n8n, Google Gemini, Google Sheets, email automation, and an email verification API.
It’s still a demo with some limitations, but getting the entire process working end-to-end was the biggest takeaway.
Projects like this are helping me move beyond simply learning automation tools and focus on building practical AI-powered workflows that can solve real business problems.
Currently exploring more ways to combine AI agents with automation, APIs, and business workflows.
#n8n #AIAgents #AIAutomation #Automation #GoogleGemini #WorkflowAutomation #Contra #BuildInPublic
AI-Agent Reporting Automation
Production AI-agent service that turns stakeholder requests into verified BI reports end to end: a request posted in Basecamp triggers a gated agent workflow that validates SQL against approved business logic, creates or updates the Metabase report, and verifies every write by exact read-back before replying with evidence. Containerized Node.js services (Docker Compose) with a fully offline test suite and CI. Built to cut the analytics team's ad-hoc reporting load - and to prove AI agents can be trusted with production writes when properly gated.
Solid setup. One thing that has saved me a lot in write-capable agents: log every agent turn (prompt, tool calls, outcome) to an audit table and add a replay mode — when a report comes out wrong, you can reproduce the exact run instead of debugging blind. Also worth setting a...