workflows

The author reflects on the current limitations of AI agents for complex, long-running tasks, citing reliability issues and suggesting that agents are better suited for narrow, supervised tasks rather than full autonomy.

The framing that AI is only for coders has become outdated; many of the most interesting AI workflows are now run by non-programmers.

An exploration of how using multiple AI models for agent workflows reveals hidden uncertainties and reasoning gaps, suggesting that future systems may rely on cross-model consensus rather than single-model chains.

SaaS-Bench is a new benchmark built on 23 deployable SaaS systems across six professional domains, containing 106 long-horizon tasks for evaluating computer-using agents. Experiments show that even the strongest models complete fewer than 4% of tasks end-to-end, highlighting significant limitations in current agent capabilities.

A founder shares 19 reusable skill instructions for AI agents (Claude/Claude Code) to automate early-stage startup functions like positioning, pricing, prospecting, and copywriting, based on their own SOPs.

Mintlify introduces self-updating knowledge bases through workflows, automating documentation maintenance.

Hermes is an AI assistant that can automate various personal and business workflows; the author lists nine key workflows including daily briefs, meeting prep, content analysis, and knowledge management.

The article highlights a small but useful workflow feature in Hermes Agent that saves significant time for daily users of Hermes Desktop.

Resend Automations enables building event-driven email flows for automated communication.

A founder shares his experience with AI tool adoption, noting that most people collect tools without achieving real results. He advocates focusing on one critical business problem and iterating until the workflow genuinely works, citing his own success reducing client reporting time from 4-5 hours to under 45 minutes.

Trigger.dev raised $16M in Series A funding to expand its platform that enables developers to build and deploy reliable AI agents and workflows using a simple SDK. The Y Combinator-backed company highlights features like long-running task execution, real-time streaming, and programmatic checkpointing.

The post describes using LLM Wikis to capture information and HTML Artifacts to present it interactively, enabling powerful workflows with AI agents for tasks like inbox zero, research, prototyping, and more.

The author shares a practical breakdown of an agentic research system they built to identify and evaluate AI use cases within companies. The system uses six agents for discovery, evaluation, and context extraction, emphasizing human-in-the-loop decision-making over full autonomy.

OpenAI's Codex has surpassed Anthropic's Claude Code in functionality for some users, driven by the capabilities of GPT-5.5 and an improved desktop application. The article discusses migration strategies and personal use cases for adopting Codex as a primary tool for knowledge work.

Stanford professor released a free 1-hour lecture covering the fundamentals of AI agents, tool calling, multi-step workflows, planning and reflection.

Armin Ronacher (pocoo) shares his production experience with Absurd, a durable execution system built entirely on Postgres, highlighting improvements like decomposed steps, task results, and a CLI tool called absurdctl.

This Hugging Face repository provides workflows and model downloads for Lightricks' LTX-2.3 video generation model, designed for use with ComfyUI, including split models, GGUF versions, and required custom nodes.

Anthropic introduces Cowork, a new desktop feature for paid Claude subscribers that automates complex tasks by synthesizing local files, cloud tools, and web sources into finished deliverables like documents and spreadsheets.