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GitHub introduces custom agents in Copilot CLI, allowing developers to define specialized, reusable workflows in Markdown files for tasks like security audits and release notes.
A guide to using Fable 5 and Claude Code to create automated workflows (loops and goals) for AI agents, including 25 workflow examples with prompts and tool integration.
Forward Future has open-sourced a library of 70 AI agent workflows with copy-paste prompts and defined stopping conditions, covering engineering, evaluation, operations, and content tasks.
A researcher and engineer discusses the benefits of multimodal prompting for AI agents, explaining how combining voice, screen annotations, and actions improves agent performance and reduces frustration.
ComfyClaw is an agentic skill evolution framework for ComfyUI image generation workflows, using typed graph editing and region-level VLM verifiers to translate visual failures into repair suggestions, outperforming baselines across multiple configurations.
This article explains how using Postgres transactions for workflow state co-located with application data eliminates idempotency and atomicity problems in distributed workflows, providing exactly-once execution.
LangChain's Deep Agents now supports dynamic subagents, where the main agent writes orchestration code to coordinate work at scale, enabling workflows like processing hundreds of documents with deterministic coverage.
A tweet thread discusses best practices for AI token cost optimization, arguing that a deep understanding of workflows and architecture is needed for enterprises to maximize ROI, and that this represents a major opportunity for applied AI companies.
A discussion on when to use scripts versus AI agents, arguing that most claimed AI agents are actually simple scripts, and only truly dynamic decision-making tasks warrant agents.
TUA-Bench is a comprehensive benchmark for evaluating general-purpose terminal-use agents across diverse digital activities and specialized workflows, revealing significant performance gaps among current frontier agents.
The author observes that Zapier handles fixed workflows well, but variable workflows are where they want to use an AI agent.
Two senior Google Cloud engineers gave a live lecture on building multi-agent workflows, discussing Google's open-sourced production multi-agent system.
A detailed guide covering 50 advanced Obsidian workflows, plugins, and setups, including Dataview queries, Templater automation, and Canvas spatial thinking techniques, aimed at transforming Obsidian into a personal operating system.
Almost all AI model and agent progress depends on evaluations (evals). Understanding workflows and agent performance through evals will become a core enterprise competency for driving automation.
The article discusses the growing adoption of SKILL.md for defining reusable agent skills, and questions its advantages over relying solely on AI tools like ChatGPT and Claude, considering factors like offline usage, standardization, workflows, and cost savings.
A user asks the community about their real-world experiences with OpenClaw, seeking honest feedback on common workflows, cool automations, frustrations, and setup configurations.
This article poses critical questions teams should consider before trusting AI agents in real workflows, focusing on reliability, accountability, and correctness.
A discussion thread asking about real-world ROI from AI agent workflows in areas like software development, research, customer support, operations, sales, and data analysis, seeking architecture details, metrics, and lessons learned.
Timbal AI is a stack for building AI agents, workflows, and apps.
A comprehensive guide with 58K+ stars on best practices for using Claude Code, covering tips from Boris Cherny and community workflows to maximize agentic engineering.