Agentic AI Workflows (Code + No-Code)Kunal Barve
I build intelligent AI systems that work autonomously to handle your most complex business challenges. Going beyond basic automation, my custom Python solutions can tackle everything from customer interactions and content creation to advanced data workflows and decision support—essentially any multi-step process that requires intelligence. Each system is built specifically for your business, integrating seamlessly with your existing tools while providing the flexibility to evolve as your needs change. You'll receive fully documented source code and comprehensive guides, giving your team complete ownership. Ideal for businesses ready to move past repetitive tasks and leverage AI for genuine competitive advantage.
What's included
Core System:
A complete, fully functional AI workflow system tailored specifically to your business requirements, capable of autonomously handling multi-step tasks .
Source Code:
A well-documented Python codebase complete with comprehensive inline comments. This includes:
Modular code structure for easy updates and future scalability.
Full traceability of changes via version control.
Version Control:
Secure, private GitHub repository access with a complete development history. Clients can review commits, rollback changes if needed, and customize the code per evolving requirements.
API Integration Layer(If needed):
FASTAPI endpoints to facilitate seamless interaction between the AI system and your existing applications or third-party services.
Deployment and Configuration
Detailed deployment guidelines tailored for various environments (development, testing, production), including environment-specific configuration files and troubleshooting steps.
Documentation
A complete set of documents that cover every aspect of the deployment and integration process:
System Architecture & Codebase Guide:
Detailed documentation of the overall system design, underlying technologies, and codebase structure.
API Documentation:
Clear descriptions of API endpoints, including request/response formats and practical use-case examples.
Agent Capabilities & Limitations:
A guide outlining the strengths, limitations, and suitable use cases of the AI agents.
Prompt Library:
A full log of all prompts and reasoning patterns used within the system, providing transparency and facilitating future optimizations.
Contact for pricing
Tags
ChatGPT
FastAPI
GitHub
MongoDB
Python
Backend Engineer
Software Engineer
Web Developer
Service provided by
Kunal Barve Nagpur, India
- 2
- Followers
Agentic AI Workflows (Code + No-Code)Kunal Barve
Contact for pricing
Tags
ChatGPT
FastAPI
GitHub
MongoDB
Python
Backend Engineer
Software Engineer
Web Developer
I build intelligent AI systems that work autonomously to handle your most complex business challenges. Going beyond basic automation, my custom Python solutions can tackle everything from customer interactions and content creation to advanced data workflows and decision support—essentially any multi-step process that requires intelligence. Each system is built specifically for your business, integrating seamlessly with your existing tools while providing the flexibility to evolve as your needs change. You'll receive fully documented source code and comprehensive guides, giving your team complete ownership. Ideal for businesses ready to move past repetitive tasks and leverage AI for genuine competitive advantage.
What's included
Core System:
A complete, fully functional AI workflow system tailored specifically to your business requirements, capable of autonomously handling multi-step tasks .
Source Code:
A well-documented Python codebase complete with comprehensive inline comments. This includes:
Modular code structure for easy updates and future scalability.
Full traceability of changes via version control.
Version Control:
Secure, private GitHub repository access with a complete development history. Clients can review commits, rollback changes if needed, and customize the code per evolving requirements.
API Integration Layer(If needed):
FASTAPI endpoints to facilitate seamless interaction between the AI system and your existing applications or third-party services.
Deployment and Configuration
Detailed deployment guidelines tailored for various environments (development, testing, production), including environment-specific configuration files and troubleshooting steps.
Documentation
A complete set of documents that cover every aspect of the deployment and integration process:
System Architecture & Codebase Guide:
Detailed documentation of the overall system design, underlying technologies, and codebase structure.
API Documentation:
Clear descriptions of API endpoints, including request/response formats and practical use-case examples.
Agent Capabilities & Limitations:
A guide outlining the strengths, limitations, and suitable use cases of the AI agents.
Prompt Library:
A full log of all prompts and reasoning patterns used within the system, providing transparency and facilitating future optimizations.
Contact for pricing