You will get AI Automation Agent That Works Like an Employee

Project details
I build AI agents that replace repetitive manual work in your business. Instead of hiring another employee for data entry, report generation, lead processing, or content creation — I build an autonomous system that does it 24/7 without breaks or errors.
Every agent is custom-built for your specific workflow using Python and Claude/GPT APIs. I connect it to your existing tools (Google Sheets, CRM, email, Slack, databases) and deploy it on a cloud server so it runs hands-off.
My portfolio includes production agents for ad report automation (11 platforms consolidated in one click), flight price monitoring, viral content hunting, health coaching, and product photography. Each one runs autonomously in production right now.
Every agent is custom-built for your specific workflow using Python and Claude/GPT APIs. I connect it to your existing tools (Google Sheets, CRM, email, Slack, databases) and deploy it on a cloud server so it runs hands-off.
My portfolio includes production agents for ad report automation (11 platforms consolidated in one click), flight price monitoring, viral content hunting, health coaching, and product photography. Each one runs autonomously in production right now.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language GenerationAI Development Language
PythonAI Tools
GitHub CopilotAI Models
ChatGPT, DALL-E, GPT-4, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 14 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
+$75 - $200
Additional Revision
+$50Frequently asked questions
About Daniil
AI Agent & Chatbot Developer | Business Automation with GPT/Claude
Denpasar, Indonesia - 6:33 am local time
What I can build for you:
- AI-powered chatbots that handle customer support 24/7 using your knowledge base
- Lead qualification bots that talk to prospects and filter out non-buyers
- Document processing agents that extract data from PDFs, invoices, and forms into spreadsheets
- Business automation: incoming requests, email replies, order tracking, reporting
- Data scraping and analysis agents that collect and organize information automatically
- Custom AI agents connected to Google Sheets, CRMs, email, and messaging platforms
How I work:
1. We discuss your task — I ask the right questions to understand your workflow
2. I build a working prototype in 3-5 days
3. You test it, I refine until it works exactly as needed
4. I deploy on your server or mine, and provide documentation
Tech stack: Python, Claude API, OpenAI API, Telegram Bot API, Google Sheets API, web scraping tools, REST APIs.
I focus on practical solutions that save you real hours every week — not fancy demos that break in production. Clear communication, fast delivery, and ongoing support included.
Let's talk about what's eating your team's time — I'll tell you honestly if AI can help.
Steps for completing your project
After purchasing the project, send requirements so Daniil can start the project.
Delivery time starts when Daniil receives requirements from you.
Daniil works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and audit
I analyze your current workflow, identify automation opportunities, and define the agent architecture
Build and integrate
I develop the AI agent, connect all APIs and data sources, and test the full pipeline