workflows

The article argues that most so-called AI agents are actually simple workflows with LLMs attached, lacking true adaptability, and provides a test to distinguish real agents from disguised workflows.

Donna is a product that lets you schedule multiple meetings with one booking link, featuring conditions like time gaps and built-in workflows for prioritization and routing.

This article presents a simple test to distinguish between AI agents and traditional workflows based on runtime decision dependency, discusses architectural trade-offs, and highlights common production failures in agentic systems.

The article presents several disruptive use cases for Jev, a tool that can be applied to AI evals, voice AI, workflows, synthetic personas, and more, providing fast and quantifiable solutions for various AI tasks.

Morsa Signals offers GTM and AI visibility workflows for developer tool teams, helping with scaled outreach, user identification, SEO audits, and competitor tracking.

A community platform built by Stevey to share and learn about AI setups, tools, and workflows, helping engineers compare and update their configurations.

The article explores the potential of AI agents to handle repetitive tasks like preparing business presentations, highlights a tool called Oria that converts existing content into professional PowerPoint slides, and questions how much control should be given to AI in such workflows.

The article discusses which AI agent tasks should remain simple to avoid over-complication, asking for examples where simple workflows performed better.

The author discusses their growing trust in LLMs and seeks advice on whether using AI skills with CLI tools or MCP servers is more optimized for token usage and less error-prone in software development.

The article explores practical use cases for AI agents beyond code writing, such as fixing merge conflicts, locating relevant issues, and diagnosing GitHub Actions failures, providing prompts and workflows for developers.

The article highlights a podcast discussion advocating for building personalized AI agent infrastructure, featuring isolated sandboxes, minimal toolsets, and agent-driven code execution.

AI enables the creation of highly personalized software, shifting from standardized apps to customizable tools tailored to individual workflows and preferences.

The article highlights how leading firms are using AI agents to automate and enhance workflows, with examples from startups like Basis and Clay demonstrating efficiency gains in onboarding and account management.

The article argues that multi-agent systems are often overused in AI applications, suggesting that a single agent with good tools, strict state, and clear stop conditions can be more efficient, easier to debug, and cost-effective for many workflows.

The article shares workflows for using Obsidian as a 'second brain' to enhance productivity, inspired by Andrej Karpathy's system, with practical tips to save time.

GitHub has released 4 new Skills exercises designed to give developers practice with AI-powered development, agentic workflows, and code quality.

This paper studies how handoff transformations in LLM agent workflows degrade binding constraints into non-binding context, causing safety failures, and evaluates interventions to preserve operational state.

The article lists 10 Claude Connectors that automate research, workflows, and data tasks to enhance productivity for Claude users.

The article explains how AI agents can automate workflows for small businesses, such as lead response and invoice follow-up, while highlighting the importance of human judgment and a structured implementation approach to avoid wasted resources.

The article discusses a critical yet often overlooked failure in AI agent production: state drift where agents operate from inconsistent realities despite correct handoffs, and proposes tests to identify such issues in long-running workflows.