Problem — Service businesses lose good leads when inquiries sit in a shared inbox or reach the wr...Problem — Service businesses lose good leads when inquiries sit in a shared inbox or reach the wr...
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
Problem — Service businesses lose good leads when inquiries sit in a shared inbox or reach the wrong person.
What I built — RelayAI turns a messy inquiry into a fit score, priority, detected intent, routed owner, next step and a personalized reply.
Business result — Designed to create a faster, more consistent first response and clearer team handoffs. This portfolio demo uses transparent browser-based logic and sends or stores no data.
RelayAI — a self-initiated interactive lead qualification and follow-up automation concept for service businesses. It turns an inquiry into a fit score,...
24-Hour AI Workflow Blueprint — From Business Problem to Practical AI Plan
I developed a practical workflow-review system designed to help small businesses identify where AI can genuinely save time — and, just as importantly, where human judgement should remain in control.
The process starts with a structured business questionnaire covering repetitive tasks, existing software, time-consuming processes, desired improvements and areas that should not be automated.
That information is then analysed to identify bottlenecks, quick wins and realistic opportunities for AI assistance. The resulting Blueprint provides prioritised recommendations, practical workflows, suggested tools and prompts, implementation steps, and clear human/AI boundaries.
I also built and tested the supporting intake and delivery workflow so the complete review can be produced within 24 hours of receiving the required information.
The objective isn't “AI everywhere”. It's less repetitive work, clearer processes and practical improvements that a business can actually use.
This workflow was developed and internally tested as part of a live 30-day commercial AI experiment. No invented client results or hypothetical savings are presented here.
Works with any AI coding tool that takes a prompt, such as Claude Code, Codex, Gemini CLI or Cursor: copy the prompt, paste it into the tool, and ask for the app.
To demonstrate how AI voice automation can help restaurants handle customer inquiries, improve response times, and reduce repetitive manual support tasks.
This was a portfolio project built to demonstrate the workflow and its capabilities.
Restaurant flows get much more reliable with a narrow escape hatch: confirm intent, collect party/date/time, then hand off anything ambiguous to staff. I’d also log failed booking attempts so the team can see where automation loses demand. Nice foundation—n8n makes those...