Use Cases

AI Tool Stack is organised around practical AI use cases.

The goal is not to collect random tutorials. Each use case area will grow through real projects, working examples, implementation notes, and lessons learned from building.

Document AI

For extracting, structuring, and validating information from documents such as PDFs, invoices, forms, reports, and policy documents.

Typical topics:

• PDF parsing and chunking
• table and clause extraction
• structured JSON outputs
• schema validation
• human review workflows
• document automation pipelines

Claims and Workflow Automation

For turning emails, attachments, forms, and operational processes into structured workflows.

Typical topics:

• FNOL email processing
• attachment extraction
• claim field extraction
• routing and triage
• workflow automation
• audit-ready outputs

Computer Vision

For using image models in real-world inspection and analysis tasks.

Typical topics:

• object detection
• image classification
• vehicle damage detection
• visual inspection workflows
• model deployment
• inference APIs

AI Engineering Patterns

For the reusable patterns behind practical AI systems.

Typical topics:

• LLM agents
• RAG
• prompt design
• evaluation
• monitoring
• cost and latency trade-offs
• deployment patterns

How To Use This Page

Each section will eventually link to project walkthroughs, GitHub repositories, demos, templates, and lessons learned.

The structure will evolve as the site grows, but the purpose will stay the same: practical AI builds that can be understood, tested, and improved.