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Built a platform connecting clients with mobile service providers (beauty, repair, cleaning). Developed separate UX flows for clients and service providers with a unified backend. Implemented intelligent booking with dynamic calendar slots, real-time provider tracking (GPS with smart triggers), cascade notification system (push → SMS → chat), in-app chat, and online payments. Freed up 85% of phone calls for scheduling and reduced support calls by 70% with live tracking.
For the push-to-SMS fallback, do you escalate on failed delivery or on no response? That distinction seems important for avoiding duplicate alerts when a provider reconnects.
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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What they didn’t have yet was a digital presence that felt like the product itself and that’s where I stepped in.
Hi Daniel,
Trust you are doing great. Been following for a while now
Well done boss, you’re doing so amazing.
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I built a workflow that turns a business website into a testable AI phone receptionist.
The system analyzes the website, extracts services, staff, opening hours, policies, and other relevant information, then creates an isolated voice-agent demo for that business. Instead of sending a generic recording, we can provide a real phone number that allows the business to test the agent through an actual call.
When the website or scheduling system supports an integration, the agent can check availability and book appointments during the call. Otherwise, it safely captures the caller’s details and preferred time for staff follow-up.
If a business decides to continue after the demo, the same foundation can be expanded into a production receptionist with databases, customer-specific business rules, calendar and CRM integrations, confirmations, call summaries, analytics, and administrative controls.
The extracted information can also reveal gaps in the business website. Its content and structure can then be improved so both visitors and the AI receptionist receive clearer, more reliable information.
The main lesson I share is that website extraction alone is not enough. Information must be normalized, validated, and restricted to the source material before it can be used safely in a live voice conversation.
The demonstration uses a fictional dental clinic and real recordings from my working voice-agent system. No patient data, real customer information, or invented testimonials are included.
I used Descript to assemble and refine the presentation, edit the narration and real-call sections, create captions, and prepare the final submission.
