AI Voice Agents Built for Revenue Outcomes
Portfolio example
About this portfolio example
This page documents a project interface and implementation approach. It does not establish a paid client relationship or independently verified business results. Screenshots show the work; outcome claims require separate evidence and publication permission.
The Challenge
Most AI voice products fail between demo and deployment. This platform had to prove real business value: missed-call recovery, lead qualification, booking conversion, multilingual support, and paid adoption.
Our Approach
We positioned the product around revenue impact, not novelty. Clear promise first, then proof: rapid setup, production controls, secure account boundaries, and pricing tiers aligned to growth stage.
Implementation Timeline
Built a full SaaS experience across acquisition, onboarding, and monetization: conversion-led pages, account flows, subscription logic, and core product capabilities (realtime voice, booking, knowledge-grounded responses, analytics, and workflow control).
Technology Stack
Deliverables Shipped
Next.js (App Router)Review in context
ReactReview in context
TypeScriptReview in context
OpenAI Realtime APIReview in context
Better AuthReview in context
Stripe subscription flowsReview in context
shadcn/ui + Radix UIReview in context
Vercel deploymentReview in context
Project Screenshots
Project screenshots illustrate the interface; business outcomes are not verified.
Review checkpoints
Implementation Portfolio example, not verified client results
Scope Review the documented approach
Review Business outcomes require separate evidence
How to interpret this evidence
Implementation Portfolio example, not verified client results
Scope Review the documented approach
Review Business outcomes require separate evidence
Key Takeaways
- Systems beat tactics. One-off campaigns don't scale; interconnected systems do.
- Automation multiplies effort. Removing manual work creates space for strategic thinking.
- Data-driven optimization yields compound returns. Small daily improvements add up quickly.
Your next step
Discuss a project with BrainGlow
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