Stop Building AI Agents: Use Smarter LLM Workflows
By
giuliomagnifico
You might also wanna read
A practical framework for deciding when to use AI in L&D workflows
The article addresses the confusion L&D teams face regarding AI adoption, caught between executive pressure to use AI everywhere and complia
Why Treating LLMs as Black-Box Problem Solvers Fails: Lessons from Processing 100 Compliance PDFs
The article discusses the author's experience transforming 100 messy compliance PDFs into structured JSON rules. It critiques the common app
Sparks AI: Platform for Creating Custom AI Agents with Multiple LLMs
Sparks AI is a new platform that enables users to create custom AI agents without coding by mixing and matching different LLMs like GPT-5, C
LLMHub Launches Computer Using Agents: Autonomous AI Workforce Operating on Isolated Computers
LLMHub has launched 'Computer Using Agents,' an AI system that operates on isolated computers to perform tasks autonomously like human emplo
Groovy: Unified Dashboard for AI Agents with Universal Search Across LLMs
Groovy is a unified dashboard for AI agents that offers universal search and signaling across different large language models (LLMs). The ar
How AI agents are being deployed in real business workflows: Upwork, DoorDash, Meta, EY, and Fundrise examples
The article examines real-world AI agent applications beyond coding, highlighting examples from Upwork, DoorDash, Meta, EY, and Fundrise as
