3/ Having an AI agent build functional tools with zero coding required completely changes how repetitive work gets done. It pulls multi-source feeds, strips out layout clutter, and refreshes instantly, saving me from manually opening and jumping between 15 different browser tabs
AGENTS
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Building a news dashboard with KroWork’s thought process
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1/ I finally tried building my own tool with KroWork to see if this "Chat-to-software" thing is as easy as they say.
— Chubby♨️ (@kimmonismus) 21 mai 2026
I asked the agent, Kro, for a news dashboard, and updating to the latest version lets you see the full KroWork thought process mapping out the system logic. It… pic.twitter.com/vC6LPMym2D1/ I finally tried building my own tool with KroWork to see if this "Chat-to-software" thing is as easy as they say. I asked the agent, Kro, for a news dashboard, and updating to the latest version lets you see the full KroWork thought process mapping out the system logic. It
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Prompt: Pain Point Mining for AI/Niche Tools
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Prompt 2: "The Pain Point Miner" "Based on the [NICHE] projects you just found, I need
you to do deep research on the complaints and unmet
needs people are expressing around these tools and
this space in general. Search Reddit threads, X posts, Product Hunt comment
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Build Trend Scanner: Research Recent AI Products
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Prompt 1: "The Build Trend Scanner" "I'm interested in [YOUR NICHE, e.g. productivity tools,
developer tools, AI wrappers, personal finance]. Do deep research on what solo developers and indie
builders have shipped in this space in the last 90 days. Search Product Hunt -
AI Agent Architecture: Three-Layer Pattern Across Models
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Harness engineering finally got its 100-page academic survey paper from UIUC, Meta, and Stanford. Claude Code, Codex, and SWE-agent share the same 3-layer architecture under the hood: Interface · Mechanisms · Scaling Which layer is yours missing?
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Pipecat: Open-source framework for real-time voice AI agents
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Open-source framework for building real-time voice AI agents! Pipecat is a Python framework for orchestrating audio, video, AI services, transports, and conversation pipelines. Voice-first architecture with pluggable components. What you can build: voice assistants, AI
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Optimizing Predictive Models with AutoML
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Optimizing Predictive Models with AutoML Without Relying on a #DataScience Experts by @antgrasso #ArtificialIntelligence #AI #MachineLearning #ML #BigData
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Qwen 3.7 Max achieves 10x speedup in autonomous 35-hour run
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Alibaba released Qwen 3.7 max. Benchmarks incredible. Their new model ran autonomously for 35 hours, made 1,158 tool calls, and achieved a 10x speedup – on a single attention kernel. This isn't "AI improving itself across the board." It's a model grinding through
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Streamlined AI Agent Deployment: Init to Live Endpoint
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One config file. One deploy command. Everything else is managed. deepagents init → deepagents deploy → live endpoint. Full breakdown here
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Managed Harness for AI Agents: Deepagents, Model-Agnostic, One-Line Deploy
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A managed harness: Built on the `deepagents` harness Durable execution out of the box Model-agnostic One-line deploy- no Dockerfile, no infra glue