You will get AI Automation Audit & Build Plan for Your Workflow
Project details
Before you commit budget to an AI build, get a senior engineer's honest read on what's actually worth automating — and what isn't.
Most AI projects fail because the wrong workflow gets automated, the wrong tool gets picked, or a fragile demo gets shipped to production and quietly breaks. This paid discovery engagement removes that risk up front. I audit your real workflows, identify where AI agents, RAG, or automation create the most leverage, and hand you a written build plan concrete enough to execute against — no vague strategy deck, no buzzword soup.
You walk away knowing exactly what to build first, what it should cost in effort, which LLM provider and architecture fit your case, and where the failure modes are before they bite you in production.
This is an audit and roadmap, not a build. At the Advanced tier I include one small throwaway proof-of-concept stub plus a fixed-scope proposal for the follow-on build. Everything I deliver is a concrete artifact you own outright — and if you decide to build, the findings roll straight into a fixed-scope project.
Most AI projects fail because the wrong workflow gets automated, the wrong tool gets picked, or a fragile demo gets shipped to production and quietly breaks. This paid discovery engagement removes that risk up front. I audit your real workflows, identify where AI agents, RAG, or automation create the most leverage, and hand you a written build plan concrete enough to execute against — no vague strategy deck, no buzzword soup.
You walk away knowing exactly what to build first, what it should cost in effort, which LLM provider and architecture fit your case, and where the failure modes are before they bite you in production.
This is an audit and roadmap, not a build. At the Advanced tier I include one small throwaway proof-of-concept stub plus a fixed-scope proposal for the follow-on build. Everything I deliver is a concrete artifact you own outright — and if you decide to build, the findings roll straight into a fixed-scope project.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$199
|
Standard
$350
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
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
+$150
Extra workflow audited
+$120
Additional live strategy call (45 min)
+$90
Vendor / provider cost model
+$130Frequently asked questions
About Brian
AI Engineer | Production Multi-Agent Systems & Electron Desktop Apps
Sanford, United States - 4:32 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.
Share your workflow and context
You send the workflow(s) you want to automate, the tools and data involved, your constraints, and what a good outcome looks like.
I audit the workflow and assess fit
I review your real workflow, judge where AI agents, RAG, or automation create the most leverage, and flag the production risks and failure modes to plan for.