You will get AI Idea Validation — Is Your Concept Technically Feasible?
Top Rated
Project details
Have an AI product idea but unsure if it's actually buildable — or which stack to use? I validate AI concepts technically before you spend on development. I assess feasibility, identify the right LLMs, frameworks and architecture, flag risks early, and outline a realistic POC plan with effort and cost estimates.
Based on hands-on experience shipping AI MVPs across RAG systems, AI agents, compliance platforms, and video generation pipelines.
You get a written validation report.
Stack: GPT · Claude · Gemini · RAG · LangChain · Python · Prompt Engineering · AI Agents
Based on hands-on experience shipping AI MVPs across RAG systems, AI agents, compliance platforms, and video generation pipelines.
You get a written validation report.
Stack: GPT · Claude · Gemini · RAG · LangChain · Python · Prompt Engineering · AI Agents
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Generated Code, AI-Generated Music, AI-Generated Video, Conversational AI, Machine Translation, Object Detection, Sentiment AnalysisAI Tools
Hugging FaceAI Models
ChatGPT, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 0 | ||
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 | - | - | - |
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Raph Y.
Jun 18, 2026
Develop AI agent for Data transformation
Tony is rock solid AI engineer who built an AI agent for us from the ground up. He knows his way around all the AI coding tools, but more importantly he knows how to communicate in business context so the outcome of the AI agent fits to the need of the business. And he was fast, reliable, and knew well what he was doing. He delivered what we asked for and kept us in the loop the whole way. We'd happily hire Tony again.
PP
Paul P.
Apr 16, 2026
OpenClaw AI Agent Setup with OpenAI Codex Integration & Workflow
Tony built our OpenClaw AI agent and connected it to OpenAI API to automate our workflow. The AI automation he set up runs reliably on its own and he saved us a lot on LLM costs. Great communicator, delivered exactly what we needed.
PP
Paul P.
Mar 25, 2026
You will get AI Automation Strategy for SaaS & Ops Teams | n8n · OpenClaw · AI agents
Tony helped us wrap our head around AI automation of our business processes with OpenClaw AI agents.
SM
Stuart M.
Nov 18, 2025
AI Agent Feasibility Study for Automotive Accessories Business
excellent and very knowledgeable!
AE
Andrew E.
Aug 31, 2025
MCP Server Connection Assistance Needed
About Tony
Expert-Vetted AI Systems Engineer | LLM Agents, RAG, API Automation
100%
Job Success
Tabanan, Indonesia - 7:13 pm local time
I design and build AI MVPs powered by LLM agents, RAG pipelines, and API-driven automation for startups and SaaS products.
From internal workflow automation to customer-facing AI features, I help founders quickly validate AI ideas with scalable backend systems and full-stack applications built in Python, Node.js, and Next.js.
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🔹 WHAT I BUILD
✔ AI Agent MVPs (OpenAI, Claude, Llama, Assistants API, LangGraph, AutoGen)
✔ RAG Prototypes (Pinecone, Neo4j, hybrid search, NeMo Guardrails)
✔ API & SaaS Automation Workflows
✔ Backend Systems (Python, FastAPI, async workflows, pipelines)
✔ Full-stack AI apps (Node.js + Next.js)
✔ Evaluation & Testing setups for LLM reliability
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🔹 WHY CLIENTS HIRE ME
I’m an entrepreneur — not just a developer.
I think in terms of:
• Speed to validation
• Investor-ready demos
• Product-market fit experiments
• Scalable foundations without overengineering
• Cost-efficient inference
I don’t just connect an LLM to a UI.
I turn AI concepts into working products founders can test, demo, and iterate on.
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🔹 BACKGROUND
• 10+ years in data science and engineering
• 4,000+ hours of hands-on LLM and prompt engineering
• Built AI systems across legal, real estate, research, marketing, and automation domains
• Taught AI and prompt engineering concepts to 6,000+ professionals
If you're building an AI product or automating your business and need to move fast — let's build it right.
Steps for completing your project
After purchasing the project, send requirements so Tony can start the project.
Delivery time starts when Tony receives requirements from you.
Tony works on your project following the steps below.
Revisions may occur after the delivery date.
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