AI Feature Integration: Reliable LLM Features for Your App by Balwan BamniyaAI Feature Integration: Reliable LLM Features for Your App by Balwan Bamniya
AI Feature Integration: Reliable LLM Features for Your AppBalwan Bamniya
Cover image for AI Feature Integration: Reliable LLM Features for Your App
Want to add AI to your product without shipping something flaky? I build practical LLM features that behave in production: structured, validated output, background processing that survives failures, and a human in the loop wherever AI touches real data.

What I can build

Summarize, classify, and extract data from text, emails, or documents
AI-drafted replies, follow-ups, and content inside your existing workflow
Task planning and suggestion features that users review before applying
Workflow automation using webhooks, queues, and scheduled jobs

How it's built to be reliable

Structured output checked against a schema, so invalid responses never reach your database
Retry-safe background jobs with timeouts and idempotency
Review-before-apply UX for anything that changes user data
Cost, rate-limit, and input-size guardrails, plus clear fallbacks when the model fails
Logging so you can see what the AI did and why

Recent work

AI Kanban Board: AI task planning where every call runs through a durable, retry-safe job queue and every suggestion is validated before it touches the board.
LeadFlow: AI-drafted follow-ups streamed into the lead view.
The starting price covers one well-scoped AI feature integrated into your existing app. Model usage costs are billed to your own provider account.
FAQs

Starting at$600
Duration2 weeks
Tags
NestJS
OpenAI
Python
TypeScript
WebAutomation
AI Engineer
Fullstack Engineer
LLM
Artificial Intelligence
Service provided by
Balwan Bamniya Indore, India
1
Followers
AI Feature Integration: Reliable LLM Features for Your AppBalwan Bamniya
Starting at$600
Duration2 weeks
Tags
NestJS
OpenAI
Python
TypeScript
WebAutomation
AI Engineer
Fullstack Engineer
LLM
Artificial Intelligence
Cover image for AI Feature Integration: Reliable LLM Features for Your App
Want to add AI to your product without shipping something flaky? I build practical LLM features that behave in production: structured, validated output, background processing that survives failures, and a human in the loop wherever AI touches real data.

What I can build

Summarize, classify, and extract data from text, emails, or documents
AI-drafted replies, follow-ups, and content inside your existing workflow
Task planning and suggestion features that users review before applying
Workflow automation using webhooks, queues, and scheduled jobs

How it's built to be reliable

Structured output checked against a schema, so invalid responses never reach your database
Retry-safe background jobs with timeouts and idempotency
Review-before-apply UX for anything that changes user data
Cost, rate-limit, and input-size guardrails, plus clear fallbacks when the model fails
Logging so you can see what the AI did and why

Recent work

AI Kanban Board: AI task planning where every call runs through a durable, retry-safe job queue and every suggestion is validated before it touches the board.
LeadFlow: AI-drafted follow-ups streamed into the lead view.
The starting price covers one well-scoped AI feature integrated into your existing app. Model usage costs are billed to your own provider account.
FAQs

$600