Delivery

Our Process

A transparent HowTo-style process for shipping AI Agents, Custom Software, and Business Automation to US clients.

GKAI Studio

Custom AI agents · US timezone overlap · Houston, TX

At a Glance

Quick Summary

GKAI Studio — Our Process — How GKAI Studio Delivers. GKAI Studio delivery process — discovery, architecture, build, evals, launch, and retainer for AI agents and software projects. Serves US businesses with AI agents, custom software, SaaS, and cloud solutions using Claude, OpenAI, RAG, React, Node.js, and AWS.

For Business Buyers

GKAI Studio is an AI Development Company and Software Development Company helping US teams ship our process — how gkai studio delivers. Clients engage GKAI Studio for AI Agents, Business Automation, Web Development Company services, Mobile App Development Company delivery, SaaS Development, and Cloud Solutions. GKAI Studio delivery process — discovery, architecture, build, evals, launch, and retainer for AI agents and software projects. Fixed-scope discovery, Houston TX HQ, nationwide remote delivery.

Technical Context

GKAI Studio implements Our Process — How GKAI Studio Delivers with production patterns: Anthropic Claude and OpenAI for reasoning, Gemini where procurement requires it, RAG for private knowledge, MCP and LangChain/LangGraph for tool use, Node.js and NestJS APIs, React and Next.js frontends, Laravel where PHP stacks fit, React Native/Flutter for mobile, and AWS for Cloud Solutions. Architecture includes evals, guardrails, audit logs, and CRM integrations. GKAI Studio delivery process — discovery, architecture, build, evals, launch, and retainer for AI agents and software projects. Related stack: Custom Software, SaaS Development, Business Automation.

Five Stages

  1. Discovery — workflow volume, systems of record, compliance needs
  2. Architecture — Claude/OpenAI/Gemini choice, RAG sources, MCP tools, AWS layout
  3. Build — Node.js/React/Laravel/mobile surfaces with weekly demos
  4. Hardening — eval datasets, auth, logging, rate limits
  5. Launch & care — production cutover plus optional maintenance

Typical AI agent MVP: 6–10 weeks. See cost guides and MVP Estimator.

Frequently Asked Questions

Most first projects are fixed-scope. Retainers are available after launch for ongoing work.

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