Problem Comes First: Why the Best AI Demos Don't Start With AI
This article argues that successful AI projects begin with identifying a *problem* first, rather than starting with the AI technology itself. The authors advocate for a "CC/CD loop…
This article argues that successful AI projects begin with identifying a *problem* first, rather than starting with the AI technology itself. The authors advocate for a "CC/CD loop…
This article summarizes a conversation with Geodesic Capital partner Arvind Ayyala about the current AI investment landscape. Arvind highlights that successful AI startups aren’t n…
OpenClaw is a locally-run AI agent that connects to messaging apps like WhatsApp and Telegram, offering a more integrated and persistent AI experience than browser-based assistants…
This article argues that focusing solely on “evals” (traditional AI model evaluation) is insufficient for ensuring AI product quality. Instead, teams should build a continuous “fly…
This article summarizes discussions from a community of AI practitioners, revealing a shift from exploring *if* to implement AI, to tackling the challenges of *how* to successfully…
The “State of Applied AI 2025” report highlights that 2025 saw a shift from focusing on AI model benchmarks to building *reliable* AI systems that function effectively in real-worl…
This article summarizes a discussion with André Kerr, Director of AI Product at Amex, about implementing AI within a highly regulated financial industry. Key takeaways include prio…
This article summarizes a discussion with product leaders from Netflix and Meta about the emerging role of "AI Product Manager." They differentiate between products *with* AI featu…
Langflow, a rapidly growing open-source low-code AI tool, was recently acquired by IBM through DataStax, despite being built by a small, self-funded team in Brazil. The founders le…
This article argues that choosing the right AI model isn’t a simple decision, but a multi-dimensional process involving enterprise constraints, model type, and use-case specifics. …
This article summarizes a 10-day series on building agentic AI applications, highlighting that successful implementation hinges on observability (tracking agent actions) and rigoro…
This article showcases real-world examples of agentic AI systems – NotebookLM, Perplexity, and DeepResearch – and how they utilize core components like tools, planning, RAG, and me…