ArsenalTech Pvt. Ltd.
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Supercharge your workflows with the power of GPT, where automation meets real conversation.

Plug intelligence into your business workflows

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  • 80+
    In-house
    Experts
  • 5+
    Team’s Average
    Years of Experience
  • 93%
    Employee
    Retention Rate
  • 100%
    Project Completion
    Ratio
Our process

How we power up your ecosystem with GPT

Business function mapping

We start by identifying high-friction workflows or repetitive content-driven processes that GPT can optimize, emails, reports, recommendations, chats, docs, or Q&A.

Custom GPT integration strategy

We determine the right API endpoints, model type (GPT-4, GPT-3.5, etc.), access layers, and integration depth, whether it's a standalone micro-app or a full-scale internal tool.

Prompt workflows + logic chains

We engineer dynamic prompts, role-based responses, and logic conditions to ensure GPT acts in context and not like a generic assistant.

Tool/API/CRM connectors

We connect GPT to your ecosystem, CRMs, ERPs, ticketing, LMS, CMS, custom APIs, so it can pull, process, and respond based on your data.

Feedback loops & iteration

After launch, we review GPT responses, optimize based on real user input, and refine for tone, precision, and business value.

GPT integration

Powering applications with generative AI

  • Tech Stack Language

    Powerful coding foundations that drive scalable solutions.

    javascript-logo-svgrepo-com

    JavaScript

    Python

    Python

    TypeScript

    TypeScript

  • Framework Extensions

    Enhanced tools and add-ons to accelerate development.

    Kubernetes

    Kubernetes

    TensorFlow

    TensorFlow

    LangChain

    LangChain

  • Cloud Services

    Secure, flexible, and future-ready infrastructure in the cloud.

    SageMaker

    AWS Sagemaker

    AzureML

    Azure ML

  • LLMs & GenAI

    LLMs & GenAI

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    OpenAI

    Anthropic

    Anthropic

    google-gemini

    Google Gemini

    llama

    Meta LLaMA

    mistral

    Mistral

Tech talk

Developer tips & insights

Trending Blog thumbnail_RAG
4 Min read 10 September, 2025

Introduction to RAG (Retrieval-Augmented Generation) for SaaS Applications

Trending Blog thumbnail_Multitenant SaaS
4 Min read 10 September, 2025

Building Multi-Tenant SaaS Applications with Laravel: A practical guide for scaling globally

Trending Blog thumbnail_Filament Vs Laravel Nova
2 Min read 10 September, 2025

Filament vs Laravel Nova: CTO Guide

GPT integration FAQs – Embed OpenAI GPT seamlessly into your apps & workflows

We embed OpenAI GPT models directly into your web, mobile, or enterprise systems—turning repetitive tasks into intelligent, context-aware automation without disrupting existing workflows.

We map high-friction processes (emails, reports, Q&A, recommendations, support), then design tailored strategies using GPT-4o, GPT-4o-mini, o1-mini, or dynamic switching for the best balance of reasoning, speed, and cost.

Set up an API service layer that proxies OpenAI calls: frontend sends requests to your backend endpoint, backend authenticates with API key, handles retries/streaming, and returns structured responses. Use WebSockets for real-time chat or Server-Sent Events for streaming generation, with client-side parsing for tokens.
Use GPT-4o for complex reasoning/multi-turn (support, analysis), GPT-4o-mini for speed/cost balance (most tasks), o1-mini for math/logic. Implement dynamic switching via task classifier (lightweight model or rules) or config per endpoint, with fallback to default model on errors.
Layer prompts: system role/persona + task + context + output format + examples + constraints. Use chain-of-thought ("think step-by-step"), temperature 0.0-0.3 for consistency, JSON mode for structured output, and validate/reject malformed responses.
Connect via RAG: embed your data (docs, DB rows) into vector store (Pinecone/Weaviate), retrieve top-k chunks per query, inject as context with "use only this information" instruction. For structured data, use function calling/tools to query APIs/DBs directly before generation.
Store API keys server-side only (env vars/secrets manager), never client-side. Redact PII from prompts/logs, use ephemeral sessions, add input/output validators. Implement per-user/IP rate limits, circuit breakers, and token budget caps per request.
Cache frequent queries/responses (Redis, 5-30min TTL), truncate context aggressively, batch non-real-time calls, route simple tasks to cheaper models, monitor token usage per endpoint/user. Use streaming to improve perceived latency and async queues for background generation.

Supercharge workflows with GPT.

Automate, connect, and elevate your business with GPT-driven logic, connectors, and feedback cycles, turning data into smarter decisions.

Integrate GPT