“Dependably for LLM agent failures”
AGENTS
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AI as Scientist: Self-Driving Labs Accelerate Discovery
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AI Is Becoming A Scientist: How Self-Driving Labs Will Accelerate Discovery #AI is moving beyond assisting #scientists and taking an active role in #discovery, with self-driving labs that can design #experiments, run tests and learn from results. This article explores how
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Moving AI Agents Beyond the Prototype Stage
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AI agents fail when they stop at the prototype stage • Multimodal input
• Structured output
• APIs & interfaces
• Tools + memory + RAG Real value comes from usability, not capability alone. Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #Tech -
OpenAI working on ‘Locked use’ feature for Codex on Mac
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OpenAI is working on a dedicated setting for Codex to allow users to enable "Locked use." > Let Codex use your Mac while it's locked No more need to carry a half-open laptop around?
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AI Agents for Autonomous Video Production Workflows
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For video, this gets nasty.
— God of Prompt (@godofprompt) 15 mai 2026
Give it reference images, music, and a rough idea.
The Agent can plan scenes, generate assets, keep references organized, and use models like Seedance 2.0 for video output.
You stop babysitting every step.
You direct. It executes. pic.twitter.com/qiHeP2Z4T5For video, this gets nasty. Give it reference images, music, and a rough idea. The Agent can plan scenes, generate assets, keep references organized, and use models like Seedance 2.0 for video output. You stop babysitting every step. You direct. It executes.
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Google Gemini Spark Screenshots Show Advanced Tool Use and Skill Creation
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GOOGLE : New Gemini Spark screenshots featuring advanced tool use and Skills creation flow. It seems like there won't be an option to import SKILL MD files besides copeing and pasting. There is also no evidence of Browser or Computer Use atm.
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Shifting from Prompt Templates to Agentic Thinking Systems
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This is why I keep building thinking systems instead of prompt templates. If the model is already planning, already evaluating context, already forming internal hypotheses before it generates anything, then swapping templates misses the point. The real skill is shaping the
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The emergence of goal-based patterns in AI agent architectures
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write /goals like acceptance criteria. /goal is now everywhere. Claude Code, Codex, Hermes, and more agents are adopting the same pattern: you set a completion condition, the agent works autonomously until a fast evaluator model confirms the condition is met. the feature is
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Built discrawl store media feature, used codex review skill
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built a new feature into discrawl (store media), codex said it's done, then I used my codex review skill… https://
github.com/steipete/agent
-scripts/blob/main/skills/codex-review/SKILL.md
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ClickUp Brain Integrates Multiple Frontier AI Models for Seamless Task Management
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ClickUp Brain routes between 14+ frontier models from Anthropic, OpenAI, and Google under one subscription. The real shift here is the model feeling native, not swapped in. Whichever model you pick, your tasks, docs, and projects are loaded in automatically. Test it out