workflows

A CS student shares his experience building simple n8n automation workflows for small businesses, noting that straightforward solutions often outperform complex AI systems in real-world adoption.

Microsoft open sourced pg_durable, a PostgreSQL extension that enables durable execution of long-running SQL functions with automatic checkpointing and fault-tolerant resumption.

The author discusses the growing use of agent swarms/workflows for processing unstructured data at scale, noting that reliable execution drops significantly when deploying more than 30+ sub-agents in parallel, and teases a solution for combining intelligent decision-making with reliable task execution.

A practical guide arguing that mastering sub-agents requires building four specific workflows in a weekend, covering decomposition, context packaging, verification, and cost control, rather than spending 200 hours on tutorials.

Agency founder shares 13 free n8n workflows built with Claude Code for go-to-market automation, including prospecting, enrichment, and sentiment tracking.

A reflective article questioning the casual assumption that building AI agents is easy, highlighting the complex components like APIs, RAG, tool calling, memory, and orchestration, and suggesting that simpler workflows often suffice before needing true agents.

The author questions whether many so-called AI agents are better described as workflows, arguing that for repeatable browser tasks, defined workflows may be more reliable than agents that reinterpret steps each time.

The author argues that the real danger of AI agents is not their errors but their ability to perform final actions autonomously, suggesting that agents should stop one step earlier and leave the final click to humans or narrow workflows.

IBM Research explores how agent logic—software primitives like knowledge graphs and program analysis—can guide LLM-based agents to efficiently handle complex enterprise workflows, reducing hallucinations and costs while improving outcomes.

A discussion about whether AI agents can reliably automate complex, multi-step workflows without constant human supervision, asking about current limitations and experiences.

Haydn Belfield discusses how tokenmaxxing experiments and token leaderboards serve an inspirational and exploratory purpose by testing AI model limits and discovering new workflows.

A discussion on where AI agents fail in real workflows, highlighting issues with coordination, reliability under messy inputs, and the challenge of reducing human intervention in production.

A detailed guide on using OpenAI's Codex as an operating system for knowledge work, including setup, workflows, and a seven-day starter plan, written using Codex itself.

OpenAI released a library of ready-to-use prompts for Codex, featuring project workflows and automations that can be adapted for other AI coding agents.

The article argues that while many are building and selling AI agents, the real value lies in the workflows and training that make them useful, not the underlying technology.

A personal take that AI agents feel genuinely futuristic because they can autonomously plan steps, use tools, and recover from errors, marking a shift from AI that only answers questions to AI that actually does things.

Claude Code is releasing a /workflows feature that turns standard business work into pseudo-deterministic workflows based on SOPs, which the author sees as a significant step for Enterprise AI.

Boris Cherny, creator of Claude Code, argues that single-agent workflows are obsolete and explains the future is teams of specialized agents working together.

The author describes Briefing Fox, a prompt engineering tool that now includes an Agentic AI & Workflow feature, allowing even first-time AI users to create custom AI agents in minutes. It is free and requires no signup.

Matt Pocock published his daily-used Claude Code skills for real engineering, with over 90,000 stars and MIT license.