π€ Your AI Agent Is Failing in Prod β You Just Don't Know It Yet
The demo is impressive. β The demo works in your environment, with your data, with you watching. β Production?
The demo is impressive. β The demo works in your environment, with your data, with you watching. β Production?
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As someone who runs multiple AI agents for day-to-day tasks, I kept hitting the same wall: every new conversation was a total memory wipe. I'd ask my agent about a project we discussed yesterday, and it had no idea what I was talking about. Frustrating.
The Shift to "Skill-First" Agents The GitHub Trending page this week tells a clear story: developers are moving beyond monolithic general agents. Repos like last30days-skill and pm-skills highlight a growing demand for specialized, modular, and composable Agent Skills . However, while individua...
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For context, we started working on our general AI agent CraftBot before OpenClaw came out. It works similarly to OpenClaw and Hermes agent: control your PC to do task + memory + proactivity. However, here is the catch: it can create and operate its own SaaS tools with the concept of Living UI L...
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US-China tariffs hit 35% for most electronics in 2026. Seven criteria for vetting whether your sourcing agent can navigate the new tariff landscape. Until 2024, choosing a China sourcing agent came down to three things: supplier network depth, quality control capability, and English fluency.
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If you build agents on Base, two things landed recently that are worth connecting. First: Base shipped its own Agent Skills. There's now a base/skills repo with consolidated skills that teach an AI agent to connect to Base, deploy contracts, authenticate wallets, and run nodes β installed with ...
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I recently put together a tiny open-source tool: a non-interactive, JSON-first Jira CLI tailored for AI agents. I called it the "kubectl of Jira. " The idea is simple: itβs a stateless binary that outputs clean JSON so agents can pipe data straight into jq, grep, or wc without choking on interac...
I just read a thread where people call their bot Sloppenheimer [1]. The classical term Clanker [2] and the newer term Gippity were used in a talk I recently attended [3]. At our job we call it "Kabouter Slop", a reference to the main character of a popular Belgian kids' show [4], which roughly ...
I split one vague task ("validate my startup idea") across five focused AI agents instead of one mega-prompt. A research analyst writes structured JSON, a pitch agent turns it into a real . pptx, a skeptical-VC agent fires hard questions, a designer agent ships an HTML landing page, and a consul...
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Using a real-world trading failure as a case study, this article examines a common weakness in multi-agent AI systems: epistemic collapse. When agents share the same models, context, and prompts, apparent consensus can become little more than amplified agreement rather than independent reasoning...
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Almost every Model Context Protocol (MCP) server you'll find wraps a web API β GitHub, a database, a SaaS tool. They give a language model new information . I wanted to give one new senses and hands : the ability to reach out and touch real Bluetooth hardware.
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