Most plumbing companies don't have a lead problem. They have a phone problem.
Owners think they answer nearly every call. The real number is closer to two-thirds.
The average plumbing job is worth $300–$800. Most people who hit voicemail don't leave one. They just call the next plumber on the list.
So every missed call is a job walking straight to your competitor.
It was never a marketing problem.
You already paid to make that phone ring. You just couldn't pick it up fast enough.
→ So I built an AI receptionist that answers every call, day or night. (With Retell AI)
→ It doesn't just take a message. It checks your actual Google Calendar on the spot, gives the caller real open times, and books the job.
→ The second the booking is confirmed, the customer gets a text with all the details automatically.
→ No double bookings. No phone tag. No jobs falling through because nobody got back to them.
One recovered job pays for the entire thing.
If your phone goes unanswered more than you'd like, this is the fix.🔥
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Most people think AI receptionists are just chatbots on the phone.
They're not.
Here's the actual stack behind a real AI voice agent:
→ LLM APIs — the brain. GPT, Claude, Gemini — this is where the actual thinking happens.
→ Retell AI — handles the live phone call. Listens, responds, books. No human needed.
→ n8n — connects everything. If Retell is the person talking, n8n is the one actually doing the work behind the scenes.
→ Google Calendar — appointments land here automatically. Zero manual entry.
→ Google Sheets — lightweight CRM for call logs, lead data, client records.
Five tools. One system. Infinite calls.
This is the stack I'm learning to build real AI agents on.
Follow Krittiya Clark (https://www.linkedin.com/in/ai-automation-partner/) —I document every build.
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AI Voice Dashboard for Call Tracking, Usage Analytics & Live Call Monitoring
This project is a custom dashboard for businesses using AI voice agents. It includes login access, AI voice usage tracking, token usage, call history, live call monitoring, audio recordings, call transcriptions, AI-generated call summaries, and call volume analytics.
The dashboard helps businesses track AI phone performance, review customer conversations, monitor peak call times, and manage their AI voice receptionist system more efficiently.
Demo: https://www.loom.com/share/e2eb43cf543c4b788a554008e5505316
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A Next.js UI for generating AI product images with color variations, enhanced visuals with backgrounds/scenes, and video generators for e-commerce.
Users describe a product (e.g., "a can of drink") or upload a reference photo, select up to 4 colors, and submit.
The UI calls an n8n webhook which uses Google Gemini 3.1 Flash Image to generate an image and Kling 2.6 to generate a video. Results are displayed in a gallery grid with download buttons.