293 stories
Your company just paid out a $200 refund on a $100 order. You look at the codebase and nothing is broken, nothing failed, the model didn't hallucinate. This is a classic orchestration failure.
Every guide says auto-approve under $100 and escalate above it. That is the easy part. Four properties decide whether an approval threshold survives contact with production.
I've largely automated the process between a user submitting a bug report and the fix going live on the App Store—with support and marketing materials updated along the way. I think many jobs will look like this sooner or later.
A deep analysis of the four eras of go-to-market motions from MLG and SLG to PLG and the rise of Agent-Led Growth (ALG). Includes unit economics, historical teardowns, and execution frameworks.
The definitive guide to wiring an AI support agent into a CRM: read scope, write restrictions, authentication, and the sync failure modes that cause bad answers.
Andi Gutmans, head of Agentic Data Cloud at Google and co-creator of PHP, joins Leaders of Code to talk about why agentic development feels less like a break from the past and more like the next chapter of the same story. This is part one of a two-part conversation.
TL;DR: Traditional note-taking methods force a choice between active listening and capturing details. Classic frameworks like Cornell, Outlining, Mind Mapping, and Bullet Journaling help structure your thinking, but manual execution during high-stakes meetings breaks rapport.
Photographing receipts is easy. Turning them into coded, reconciled ledger entries is the part that eats your evenings. Here is how to automate receipt-to-books data entry with an AI agent, and why the audit trail is the part most tools get wrong.
In this No Dumb Questions, Phoebe asks Stack’s Engineering Manager Doug Whitley and Product Manager Ash Zade everything she wants to know about AI context architecture. What exactly is it? Why is it so important? What makes for good AI context architecture? Why buy one when you can build your own?
L'articolo How to Automate Employee Time-Off Requests with an AI Agent and Human Approval proviene da Tiledesk.
Ryan is joined by Coder’s Rob Whiteley to chat about why tokenmaxxing isn’t proving real value and just triggering Goodhart’s Law, how release speed and PR merges can help you measure agentic outcomes with or without a human-in-the-loop, and what the democratization of skills means for junior…
Content freshness is a major priority of AI search engines, which means decaying and visibility loss is sometimes faster for older posts. Quarterly refreshes are crucial to ensure AI citations. The post Content Decay in AI Search: Why Your Old Posts Disappear Faster Now appeared first on ACME.BOT.
Learn how Slack workflow automation changes with AI, which processes to automate first, and where human approval should stay in the loop.
Seven questions a security review actually asks, answered from current documentation rather than a trust page — including the three where the honest answer is "nothing stops that".
You wouldn't let Claude Code cat your AWS credentials or Kubernetes config on request, would you?
Yes, but only when the agent is grounded in your systems, allowed to act, and escalates on your rules. What end-to-end resolution really takes.
When it comes to AI impact, it assists informational queries but not transactional ones. Make sure your content is eligible to be cited by AI and use long-tail keywords to stay visible. The post AI Overview Optimization: Get Content Into Google AI Answers appeared first on ACME.BOT.
A vendor-agnostic evaluation checklist for AI agent platforms: pilot-failure data, six evaluation criteria, governance pressure, and a scorecard you can reuse.
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