Guides

I read a lot of pitch decks. Over the years I’ve developed a short list of signals that separate persuasive AI product pitches from noise. When investors, partners, or product teams ask me how to tell whether an AI startup is pointing to real market fit—or just polishing a clever demo—I reach for the same mental checklist. Below I share that checklist, the reasoning behind each item, red flags I’ve repeatedly seen, and practical tests...

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I recently led a migration of a mid-sized engineering team from Slack to a self-hosted Matrix setup, and I want to share the step-by-step playbook I used. If you’re contemplating the same move, you likely want more control over data, better federation options, or cost predictability. That’s exactly why we moved. In this guide I’ll cover planning, architecture choices, data migration strategies, day‑to‑day operations, and the...

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When I started evaluating chatbots for customer support teams, one thing quickly became clear: hallucinations — confident but incorrect or fabricated responses from an AI — are the single biggest blocker to deploying models at scale. I’ve spent months testing retrieval-augmented pipelines, fine-tuning assistants, and watching support agents roll their eyes at answers that sounded plausible but were flat-out wrong. In this guide I’ll...

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I’ve spent a lot of time testing phones, flashing ROMs and poking around settings to understand what really matters when you want privacy without paying flagship prices. If you’re trying to buy a privacy‑focused Android phone on a budget, you’ll quickly find that “privacy” can mean different things depending on whether you care most about software updates, limiting Google’s reach, hardware protections, or just reducing the number...

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