Delivered engagementAI & Agents · $9k – $15k
Chatling

No-Code AI Support That Resolves

Delivered engagement. Coralsoft designed and built this product end to end; figures below retain their evidence level.

WebNext.js (App Router)ReactTypeScript
chatling.example / dashboard
Chatling — product interface
The situation

What was in place before we started.

Chatling lets any team train an AI agent on their own data and deploy it across web, WhatsApp, Instagram, Telegram and Messenger — resolving real questions in seconds, with instant human handoff when needed.

Chatling lets any team train an AI agent on their own data and deploy it across web, WhatsApp, Instagram, Telegram and Messenger — resolving real questions in seconds, with instant human handoff when needed.

Engagement
3 months reconstructed
Team
6 people
Budget
$9k – $15k reconstructed
Year
2026
Category
AI customer support · No-code chatbots
Data
Websites, PDFs & docs as training sources
Models
28+ AI models incl. GPT-4 & Claude
Scale
Powering support for 1,000+ teams
Implementation architecturereconstructed
Next.js (App Router)ReactTypeScriptTailwind CSSTanStack QueryReact Hook Form + ZodVercel AI SDKpgvectorSupabase RealtimeNode.js + HonoDrizzle ORM + PostgreSQLRedis
Challenges

Each constraint, and what we did about it.

Constraint

Canned replies that dodge the question

What we did

Grounded answers from your own data

Constraint

Endless FAQ loops and dead ends

What we did

Real resolution, not redirection

Constraint

No memory of the conversation

What we did

Full context carried into handoff

Constraint

One channel, siloed from the rest

What we did

One agent across every channel

Constraint

Weeks of setup and scripting

What we did

Live in minutes, no code

Constraint

Frustrated customers, more tickets

What we did

Fewer tickets reaching the team

Great support AI is measured by resolution, not deflection — and by how gracefully it hands the hard cases to a human.

Results

Outcome, with the source of every figure.

3-month engagement
60%
Questions resolved without an agent.
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
−50%
Average first-response time.
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
4.7★
Rating across review platforms.
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
−35%
Support tickets reaching the team.
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
85+
Languages handled automatically
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
28+
AI models available
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
5+
Channels from one agent
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
Mins
From data to live agent
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.

By grounding every answer in the customer’s own data, Chatling turns support from deflection into resolution — without a line of code.

Showcase

How the system fits together.

4 of 8 views
chatling.example
Chatling — product interface
chatling.example
Chatling — product screenshot
chatling.example
Chatling — product screenshot
chatling.example
Chatling — product screenshot
Roadmap

How it was sequenced.

3 monthsreconstructed delivery
Weeks 1–3

Discovery & shaping

MVP: data ingestion, visual agent builder, website widget, analytics.

  • Data Training
  • Agent Studio
Weeks 4–10

Core build

Messaging channels, human handoff, multi-model routing, CSAT.

  • Human Handoff
Weeks 11–13

Launch & iterate

Multilingual scaling, integrations, credits & usage tooling.

  • Omnichannel
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More work like this.

Every case study is a Coralsoft delivery story, with the evidence behind each figure kept visible.