[13] Case Study № 13
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HELPLY AI.

Category
AI Platform
Stack
Next.js, OpenAI, Firebase
Type
Full Stack
Status
Shipped
Focus
AI Engineer
CUSTOMERQUERYLIVECHATAITRIAGEAGENTHANDOFFRESOLVED✓
Fig. 01 — Helply AI · Unified flow / architecture diagramAnimated
[01] Overview

Helply AI is an automated support engine resolving tickets at scale and at hours humans would rather sleep through.

Next.js
Primary Driver
OpenAI
Integration Layer
Firebase
Infrastructure
[02] Objective

To keep growing support costs sane by deflecting the standard, repetitive ticket queue.

[03] Solution

Built RAG indexing logic that matches brand manuals to vector nodes for on-brand answers.

[04] Challenges

Tuning dynamic handoff triggers so angry customers reach a human before they reach the caps-lock key.

[05] Results

Slashed incoming ticket volume noticeably within the first launch window — the inbox finally exhaled.

[06] Impact

By the numbers.

01
45%
Ticket Reduction
02
94%
AI Answer Accuracy
03
2
Response Time (Sec)
04
108
Cups of Coffee During This Project
[07] Timeline
START
Onboarding & architecture design
BUILD
UI component library & layout styling
INTEGRATE
Core API / flow automation setup
OPTIMIZE
Testing, performance, & responsive pass
RELEASE
Shipped to production environments
CodebaseLive Demo↗
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