You will get Custom AI Agent or RAG Workflow MVP, Production-Ready
Project details
You will get a working, production-ready AI agent or RAG workflow built around your real use case, not a demo that breaks the moment you feed it live data. I scope the build tightly to your tier, wire it into the tools and data sources you actually use, and test it against your own examples so you can trust the output. You get the source code, setup instructions, and documentation, plus a walkthrough so your team can run, deploy, and extend it without depending on me.
I've shipped real systems end to end, including AlgoX, a real-time signal-routing and automation platform, so I build for reliability, clear handoff, and maintainability rather than a one-off prototype. Every tier has firm scope limits stated up front, so there are no surprises: you know exactly what's included, what's not, and what each add-on covers. If you're past the experiment stage and want an AI build you can put in front of users, this is built for that.
I've shipped real systems end to end, including AlgoX, a real-time signal-routing and automation platform, so I build for reliability, clear handoff, and maintainability rather than a one-off prototype. Every tier has firm scope limits stated up front, so there are no surprises: you know exactly what's included, what's not, and what each add-on covers. If you're past the experiment stage and want an AI build you can put in front of users, this is built for that.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$1,500
|
Standard
$2,500
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$400 - $700
Additional integration
(+ 3 Days)
+$600
Expanded evaluation suite
(+ 3 Days)
+$500
30-day post-launch support
+$900Frequently asked questions
About Brian
AI Engineer | Production Multi-Agent Systems & Electron Desktop Apps
Sanford, United States - 2:28 am local time
I’m Brian Castaneda, founder of Helionix Labs. I specialize in LLM-powered desktop apps, full-stack AI workflows, browser automation, and agent systems that are built for real users, real data, and real production environments.
WHAT I BUILD
• Multi-agent AI systems with orchestration, memory, RAG, tool-use, evals, and provider routing
• Electron + React desktop apps with IPC, local storage, auto-updates, server control, and signed builds
• Full-stack AI platforms using React/Next.js, FastAPI, Python, Node.js, SQLite/Postgres, and LLM APIs
• Browser automation systems using CDP, headless Chrome, account workflows, scraping, and data pipelines
• Custom AI integrations with OpenAI, Anthropic, Google, Stripe, Whop, Twilio, IMAP, brokerage APIs, and external tools
WHAT I’VE SHIPPED
• Mission Control — an Electron + React desktop app that coordinates 60+ AI agents across multiple LLM providers, with persistent SQLite memory, IPC routing, voice/chat control, and live server management.
• AlgoX Trading System — a real-time signal routing and automation platform connecting TradingView, Python/Flask, NinjaTrader, C#, and broker-side execution workflows.
• Colombia FX — a React Native mobile app live on Google Play with subscription billing and exchange-rate functionality.
• Realty Suite — a white-label real estate SaaS with AI voice agents, CRM workflows, listing automation, and Vercel deployment.
HOW I WORK
1. We define the smallest end-to-end version that proves the system.
2. I ship a working version early so you can test real functionality, not just review mockups.
3. I harden the product with logging, error handling, regression checks, and production workflows.
4. You communicate directly with me — no middleman, no slow handoffs.
TECH STACK
TypeScript, React, Next.js, Electron, Node.js, Python, FastAPI, Flask, SQLite, Postgres, OpenAI, Anthropic, Google SDKs, LangChain/RAG, Coinbase AgentKit, CDP browser automation, Docker, AWS, Vercel, React Native, Expo.
HIRE ME FOR
✓ Multi-agent LLM systems
✓ AI-powered SaaS features
✓ Production Electron desktop apps
✓ Full-stack AI workflows
✓ Browser automation and data pipelines
✓ Custom AI integrations
✓ RAG, tool-use, memory, and evaluation systems
✓ Automation platforms that need to work reliably in production
If you need an AI product, automation system, desktop app, or full-stack workflow that needs to survive real users — not just look good in a demo — message me with what you’re trying to build. I’ll tell you if I’m the right fit and how I’d approach it.
Steps for completing your project
After purchasing the project, send requirements so Brian can start the project.
Delivery time starts when Brian receives requirements from you.
Brian works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff and scope lock
We confirm the use case, target behavior, integrations, and success criteria, then lock the scope for your tier so we both know exactly what's being built.
Build the agent or RAG workflow
I build the core logic, prompts, retrieval, and integrations, wiring everything into a working pipeline against your real data and examples.