The pace of the current artificial intelligence landscape is unsustainable for the average practitioner. New frameworks, tools, and breakthroughs are released daily, creating an environment where the volume of noise far exceeds the signal. For engineers and builders, sifting through product launches and marketing threads to find legitimate utility has become a significant drain on time and resources.
We built AI Things to solve this specific problem.
We observed a lack of intentionality in how AI resources are currently aggregated. Most platforms focus on comprehensiveness—listing every new tool that hits the market. We are taking the opposite approach. AI Things is not a directory of everything; it is a filter for what matters.
An Engineering-First Approach to Curation
AI Things was created by a small team of engineers and designers who are actively building software. We were tired of "Top 100" lists that prioritize affiliate links over functionality. Consequently, our vetting process is rigorous and technical.
Before a resource appears on AI Things, it is tested. We read the documentation, we inspect the code, and we filter out the marketing rhetoric to determine if the tool solves a real problem. If a tool does not function as advertised or adds unnecessary complexity to a workflow, we do not list it.
Independence and Quality
This project is a labor of love, not a venture-backed startup. We are not selling software, and we are not beholden to investors. This independence allows us to remain objective. Our priority is quality over quantity, and we only recommend resources that we would use—or have used—in our own builds.
What We Provide
We update our platform weekly to keep pace with the industry, but we remain selective. Our resources cover the practical elements necessary for shipping software:
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Tools: Vetted software and libraries that streamline development.
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Communities: Relevant AI communities
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Education: High-quality articles, videos, and documentation.
The goal of AI Things is simple: to provide a weekly download on the tools, teams, and trends shaping practical AI, so you can spend less time searching and more time shipping with confidence.