Alternatives
Products that do what clauxel does
Teaching AI How to Think and Act Through Philosophy
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Hi everyone, Let me introduce you to Quazel, where we want to enable people to talk their way to fluency. We have all tried various language learning apps and tools, however, one aspect of language learning current services are really bad at is conversational practice. You might get a chat-like interface, but in the end, the conversation partner will only respond with a predefined "if the users say X I say Y". With Quazel that's completely different. In completely dynamic and unscripted conversation you can talk about pretty much anything you want. For example, you can try ordering food at a…
2022 · talk.quazel.com
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Yesterday I built something that probably shouldn’t exist yet. In 9 hours, I created a cognitive architecture demonstrating emergent reasoning. It follows a 5-step loop: Plan → Reason → Act → Reflect → Respond. Adding a WebSearchTool to test extensibility, the agent initially failed its first search, reflected on poor results, adapted its query, and then succeeded. This behavior wasn’t programmed; it emerged naturally from the architecture. Five hours later, I integrated a FileManagerTool — it worked on the first try. Like code compiling first time, except this was intelligence composing…
2025 · github.com
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at a pub in london, 2 weeks ago - I asked myself, if you spawned agents into a world with blank neural networks and zero knowledge of human existence — no language, no economy, no social templates — what would they evolve on their own? would they develop language? would they reproduce? would they evolve as energy dependent systems? what would they even talk about? so i decided to make myself a god, and built WERLD - an open-ended artificial life sim, where the agent's evolve their own neural architecture. Werld drops 30 agents onto a graph with NEAT neural networks that evolve their own…
Feb 2026 · github.com
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Jan 2026 · arxiv.org
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As a student, I was trained to play the formal education game—flashcards, diagrams, fastidiously organized notes. But as a 32-year-old, I’m disappointed by the knowledge and understanding I’ve retained over time. And without the familiar game of formal education to play, I’m often at a loss for how to learn new topics that are interesting but intimidating to me. AI has the potential to change the way people learn, and existing tools show promise. But I’m still dissatisfied—these tools often dump knowledge on me without helping me integrate it into my understanding. --- I built Stella to…
Sep 2025
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Every time I wanted to use LLMs in my existing pipelines the integration was very bloated, complex, and too slow. This is why I created a lightweight library that works just like scikit-learn, the flow generally follows a pipeline-like structure where you “fit” (learn) a skill from sample data or an instruction set, then “predict” (apply the skill) to new data, returning structured results. High-Level Concept Flow Your Data --> Load Skill / Learn Skill --> Create Tasks --> Run Tasks --> Structured Results --> Downstream Steps And the bast part: Every step can be saved and reused as…
2025 · github.com
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