10 Best Platforms for AI-Driven Business Process Automation (2026)
TL;DR An invoice arrives as a PDF. It needs matching against a purchase order, a check against policy, an approval, and an entry in the...
273 stories
TL;DR An invoice arrives as a PDF. It needs matching against a purchase order, a check against policy, an approval, and an entry in the...
TL;DR Your support agent demo runs on one 2,000-word system prompt. Three months later, five teams have copied it, every copy has drifted, and nobody...
Prompt injection turns AI agents against their owners. Learn direct and indirect attacks, real exploits like EchoLeak and GitHub MCP, and the containment defenses that actually hold up.
A step-by-step method for auditing your work, building evals, and turning repeatable tasks into automated Claude Code skills.
Natural language is collapsing the expertise required to operate professional computing engines, but it does not collapse the expertise required to warrant their results. Education therefore has to move from teaching operation alone toward teaching specification, verification, and recovery.
Today we’re launching Deep Agents deploy in beta. Deep Agents deploy is the fastest way to deploy a model agnostic, open source agent harness in a production ready way.
How to get approved and whitelisted for AI live selling on TikTok Shop, Shopee and YouTube in 2026 — the requirements, the steps, and what gets you banned.
The partnership builds on DXC’s existing OASIS platform. DXC reports sharp reductions in incident-resolution time, while sensitive actions can pause for human approval.
Agentic workflows sit between fixed automations and fully autonomous agents. Learn what they are, the patterns behind them, real examples, and a 5-question checklist for when to use one.
Copy six AI sales email templates with exact personalization tokens, then check each draft for accuracy, human review, CAN-SPAM compliance, and safe rollout.
The Kággaba people of the Sierra Nevada de Santa Marta, whose Mamos train for years in darkness, wrote to the people building AI. Much of what they ask for is what Respira was built on. What already matched, and what I added this week.
I show you how to map the work, create a single source of truth, and decide where an agent helps versus a normal automation. You’ll also learn how to handle exceptions, add logs and alerts, and remove yourself in stages.
How Zocket evolved from simplifying digital advertising to rethinking how enterprise consumer brands run marketing in an AI-native era.
Fin's AI agents outpaced its review process. See how shared standards and low false positive rates keep AI code review trustworthy. Read the lessons.
Re-reading my own IBM patent on real-time concert feedback as what it actually was: an agentic loop with multimodal perception, memory-grounded inference, and a human in the loop. What it got right, and what a decade of hindsight teaches agent builders today.
Build reliable computer use agents that pause when needed, let a human verify or intervene, then resume. Use the awaiting_human state and resume endpoint to orchestrate safe workflows.
Cursor vs Claude Code in 2026: an IDE agent you steer diff by diff, or a terminal agent you hand whole tasks to. Features, cloud agents, context, MCP and October 2026 pricing compared, with a clear verdict.
Beyond basic ReAct loops: six production-oriented architectures for building autonomous, reliable, and scalable LLM agents. The post Agentic Systems: A Practitioner's Guide to 6 Advanced Architectural Patterns appeared first on Towards Data Science.
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