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I designed and implemented an AI receptionist and booking automation for Fresh Services to help the business capture leads and schedule jobs more reliably. The voice agent answers incoming calls, collects customer and service details, handles common questions, transfers callers during business hours, books appointments after hours, and sends SMS confirmations. The system connects Retell AI, Twilio, Cal.com, and Supabase into one automated workflow built for a real home-service business.
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Building AI automation for small businesses that don't have time to build it themselves 🛠️
Lately I've been shipping:
— AI voice agents + missed-call text-back (so businesses stop losing leads to unanswered calls)
— Booking/appointment automation synced to real calendars
— RAG-based support chatbots trained on a business's own docs
— Clean, fast websites (Next.js/React) + CRM integration
If you run a service business and you're losing leads to slow response times, this is exactly the problem I solve. Always happy to chat if you're exploring AI automation for your business 👋
More on what I do → https://www.ghpsoftworks.com/
ghpsoftworks.com
GHP Softworks | Web Apps, AI Voice Agents & Automation
USA-based software company building web apps, mobile apps, AI voice agents, and automation for startups and businesses across the United States.
The missed-call text-back is a strong lead-saver — one detail that makes or breaks it is speed: if the SMS lands within seconds, callers read it as "the business cares"; after a few minutes it reads as spam. Also worth logging the top reasons callers hang up or get stuck in the...
Created AI Agent: This agent is useful for all business needs if you are running a local shop to a big enterprise business. This AI Agent will help you to solve your daily business operational needs.
Frontend using Framer Design and Backend Using Node.js (Claude.ai, Open AI)
What are your thoughts?
Great concept! Combining Framer with Node.js and AI models creates a strong foundation for building practical business automation. 🚀
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...