You will get integrate Claude or GPT into your app: streaming, RAG, agents
Project details
I will embed Claude or GPT into your app the right way - clean endpoints, streaming, and optional RAG over your own data or tool-using agents. Production patterns, eval and cost control included. 10+ years of Python, AI-native; fixed price, refined to spec.
What's included
| Service Tiers |
Starter
$99
|
Standard
$249
|
Advanced
$499
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 2 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
About Anton
AI Product Engineer
Phuket, Thailand - 4:16 am local time
I take projects under one roof — architecture, infrastructure, backend, AI integrations, deployment — using an AI-native workflow that ships faster without cutting quality.
Past roles: Senior Developer, Solution Architect, CTO, Project Manager.
I understand both the engineering and the business side — clear scope, realistic timelines, no surprises.
What I deliver:
• Full IT product cycle — from idea to production
• AI agents & LLM integrations (Claude, GPT, Gemini, MCP, openai-agents)
• High-load systems — infra with dozens to hundreds of servers in production
• DevOps & SRE — Kubernetes, Terraform, observability, CI/CD, performance tuning
• Crypto + AI — DeFi bots, Uniswap V3, on-chain monitoring
• Tech: Python, TypeScript, PostgreSQL, Linux, Docker, K8s
How I work — your money stays safe:
• Fixed-price by default — you know what you pay upfront, no hourly surprises
• Result-based payment — if I don't deliver what we agreed on, you don't pay. Full stop.
• No disputes — I'd rather refund than fight over a job that didn't work out
• Early clients get competitive rates in exchange for honest reviews and case studies
Steps for completing your project
After purchasing the project, send requirements so Anton can start the project.
Delivery time starts when Anton receives requirements from you.
Anton works on your project following the steps below.
Revisions may occur after the delivery date.
Integrate the LLM into your app
Set up the model, prompts, streaming and (if needed) RAG or agent tools; delivered tested with usage docs.