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AI-Powered PDF Data Extraction
Organizations often face challenges in extracting useful information from a large volume of unstructured data in PDF format.
The lack of standardized data formats makes it difficult to efficiently retrieve relevant information, when dealing with documents.
The goal of this solution was to develop a flexible automated solution that allows users to specify entities to extract, enabling quick and accurate data retrieval from diverse PDFs.
The demo is available on request.
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Thinking about making a course on how I actually work with AI agents.
Not prompts.
The rules, skills and checks that make the agent build things the way my repo wants.
Would that be useful to anyone?
Yes please. The rules and checks part is what nobody teaches. Prompt tips are everywhere, repo setup isn't.
Melting Point is on Dribbble now ☺️🌍
A website concept about global warming, with a melting Statue of Liberty at the center. As you scroll, the scene slowly changes — until there’s water where the monument used to be.
Wanted to explore how motion could tell this story. Sharing a closer look at the result 🖤
What do you think?
https://dribbble.com/shots/27839407-Melting-Point-A-Climate-Story
What does practical, agentic AI look like in a real business workflow?
Our new TechFoundry IMS case study walks through seven demos—from purchase-order intake and catalog conflict resolution to vendor orders, shipments, client shipping, and invoice reconciliation.
It shows how AI agents, document processing, and software integrations work together, with human review where judgment matters. I’ve also included the technology stack behind the platform.
Explore the case study:
https://contra.com/p/oWU3ssF3-tech-foundry-ims-ai-procurement-and-fulfillment-in-seven-demos
Building an agentic AI solution? Book a free initial consultation with me on Contra. We’d love to work with you.
#PracticalAI #AgenticAI #Automation #SoftwareDevelopment
Purchase-order intake and catalog conflict resolution feel like the right place to start with agents, since the pain is concrete. How do you handle the cases where the agent is unsure and a human has to step in?
