I build practical AI-powered workflows using large language model APIs such as ChatGPT.
The goal is not simply to add AI to a product. I focus on using it where it can actually reduce repetitive work, process information, or improve an existing business workflow.
I can help with:
• Text and document processing
• Information extraction from unstructured text
• Classification and tagging
• Automated summaries
• Report generation
• Content transformation
• Data enrichment
• AI-assisted internal tools
• Customer support assistance
• AI + API workflows
• Adding LLM functionality to an existing website or web application
Typical examples include:
• Automatically extracting structured information from documents
• Categorizing incoming requests or records
• Generating summaries from large amounts of text
• Connecting an LLM to an existing database or API
• Creating internal AI tools for repetitive business tasks
• Processing customer messages before human review
• Turning raw information into structured reports
My process:
Understand your current workflow and desired result
Identify where an LLM provides real value
Define clear inputs and outputs
Design the surrounding automation
Build the AI / LLM integration
Test prompts and common edge cases
Provide source code and setup instructions
I focus on keeping the AI component structured and maintainable. Where appropriate, I also design the workflow so uncertain AI outputs can be reviewed before they affect important business data.
For larger systems involving several APIs, databases, or complex business logic, message me first and I can help define the scope.
I build practical AI-powered workflows using large language model APIs such as ChatGPT.
The goal is not simply to add AI to a product. I focus on using it where it can actually reduce repetitive work, process information, or improve an existing business workflow.
I can help with:
• Text and document processing
• Information extraction from unstructured text
• Classification and tagging
• Automated summaries
• Report generation
• Content transformation
• Data enrichment
• AI-assisted internal tools
• Customer support assistance
• AI + API workflows
• Adding LLM functionality to an existing website or web application
Typical examples include:
• Automatically extracting structured information from documents
• Categorizing incoming requests or records
• Generating summaries from large amounts of text
• Connecting an LLM to an existing database or API
• Creating internal AI tools for repetitive business tasks
• Processing customer messages before human review
• Turning raw information into structured reports
My process:
Understand your current workflow and desired result
Identify where an LLM provides real value
Define clear inputs and outputs
Design the surrounding automation
Build the AI / LLM integration
Test prompts and common edge cases
Provide source code and setup instructions
I focus on keeping the AI component structured and maintainable. Where appropriate, I also design the workflow so uncertain AI outputs can be reviewed before they affect important business data.
For larger systems involving several APIs, databases, or complex business logic, message me first and I can help define the scope.