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Products that do what WindFlalsh AI Daily does
Daily curated AI news on LLMs, agents, and indie projects
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Find new AI everyday that can make your life easy & better
2023
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Lately I've felt exhausted due to the deluge of AI/GPT posts on hacker news, and have seen similar grumblings. I threw together this frontend that filters out anything with the phrases AI, LLM, GPT, or LLaMa for use until the hype dies down a bit. Before anyone asks, yes I did try to use ChatGPT to help, and while the code it provided was helpful, it needed some heavy bug-fixing. Edit: One other note I forgot to mention. The favicon is generated by Stable Diffusion, I asked it to generate an "Aritificial Intelligence Favicon", and then I added the red circle with line through it.
2023 · save-buffer.github.io
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I decided to build my own AI feeds reader since I wanted features I couldn't find, or at least not in the way I wanted to, for instance: - Filter news by interest/category - Cluster same story from different sources into one - Show short summary of each new so you can skip if it's not really that interesting to you - Track relevant AI figures, but not only their tweets and posts but also their appearences in articles and interviews I'm still tuning it and improving it everyday.
4d ago · aibriefs.news
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I am working on a modular open source framework called Griptape that allows Python developers to create LLM pipelines and DAGs for complex workflows that use rules and memory. Griptape can be thought of as "Airflow for LLMs," providing an alternative to the agent-based LangChain approach. Developers can also build reusable LLM tools with explicit JSON schemas that can be executed in any environment (local, containerized, cloud, etc.) and integrated into Griptape workflows. They can also be easily converted into ChatGPT Plugin APIs and LangChain tools via adapters. Tools can be thought of as…
2023 · github.com
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One free curated AI tool in your inbox every morning
Jul 2026 · dailytoolbox.netlify.app
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I’ve been building LLM tooling for a small VC fund and found myself explaining the same mental model over and over to non-technical people around me: how a stateless LLM becomes a chatbot, how tool use works, what an agent is mechanically, and why context windows shape all of it. I never found a guide that covered that full chain at the level I wanted, so I wrote one. It’s nine short chapters, each building on the last. Deliberately simplified: the goal is a useful mental model, not a textbook. Feedback, corrections, and contributions welcome: github.com/ymyke/aiaiai
Apr 2026 · aiaiai.guide
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