
Daily AI strategy and news for the AI curious, builders & executives. I'm Nate B. Jones, a 20-year product leader, AI strategist, and your guide through the noise. Most AI content is hype or generic advice. I cut through both with frameworks and workflows you can use immediately. Whether you're an executive making AI decisions or a builder implementing solutions, you'll get practical guidance, tested in real organizations. New videos every day on YouTube. Deeper analysis + exclusive playbooks → https://natesnewsletter.substack.com/ Hosted on Acast. See acast.com/privacy for more information.
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<p>What's really happening inside SaaS pricing as AI agents take over the work? The common story is that agents will just replace seats — but the reality is more complicated.</p><br><p>In this video, I share the inside scoop on how the agent era is rewriting SaaS economics and what to negotiate before your next renewal:</p><br><p> • Why seat-based pricing is breaking under AI agents</p><p> • How Salesforce, Microsoft, and ServiceNow meter agentic work</p><p> • What separates a fair agent license from rent-seeking pricing</p><p> • Where SAP-style API policies could lock out your agents</p>...

<p>What's really happening inside the AI agent implementation war?</p><br><p>The common story is that the AI agent battle is between OpenAI and Anthropic on raw model quality — but the reality is that private equity, hyperscalers, consultancies, and systems of record are all converging on the implementation layer where trillions of dollars actually live.</p><br><p>In this video, I share the inside scoop on why generic enterprise AI is getting squeezed from four directions at once:</p><br><p> • Why frontier labs are moving down the stack into deployment</p><p> • How private equity became a dist...

<p>What's really happening inside the AI agent memory infrastructure war?</p><br><p>The common story is that bigger context windows and better vector search will solve it — but the reality is every serious infrastructure vendor is racing to fix a deeper problem that classic RAG can't touch.</p><br><p>In this video, I share the inside scoop on why memory is now the real battleground for production AI agents:</p><br><p> • Why classic RAG was built for chatbots, not agents</p><p> • How Pinecone, PageIndex, SAP, and GraphRAG attack different shapes</p><p> • What a retrieval contract...

<p>What's really happening inside the agentic commerce protocol war?</p><br><p>The common story is that AI agents will just plug into existing checkout — but the reality is that six camps are fighting over who carries the responsibility when an agent spends your money.</p><br><p>In this video, I share the inside scoop on the six layers where AI agents, merchants, and payment networks are battling for control:</p><br><p> • Why ACP and UCP answer completely different merchant questions</p><p> • How AP2 and Stripe authorization create the agent permission layer</p><p> • What stablecoins and x402...

<p>What's really happening when AI agents take real actions in production, and why do better prompts keep failing to stop them?</p><br><p>The common story is that prompt engineering and human approval will keep AI agents safe — but the reality is that frontier-model agents now need their own manager: a separate LLM-as-judge that guards your intent at the action boundary.</p><br><p>In this video, I share the inside scoop on the architectural pattern that's quietly replacing prompt-based guardrails in serious agentic systems:</p><br><p> • Why prompts and manual approval both break under real agent work...

<p>What's really happening with AI agent security — and what does it mean for your AI roadmap?</p><br><p>The common story is that McKinsey's Lilly platform had a security lapse — but the reality is a procurement and organizational design failure that most companies are quietly repeating right now.</p><br><p>In this video, I share the inside scoop on why AI agent exploits are a strategy problem, not a tech hygiene problem:</p><br><p> • Why 22 unauthenticated endpoints signal culture, not carelessness</p><p> • How traditional SaaS procurement breaks down with AI agents</p><p> • What every vendor ann...

<p>What's really happening with codex plugins, skills, prompts, and MCPs as agents start doing real work? The common story is that plugins are just app store add-ons — but the reality is more complicated.</p><br><p>In this video, I share the inside scoop on the agentic scaffolding that actually makes AI useful:</p><p> • Why prompts work for one-offs but break under repeated workflows</p><p> • How skills encode your house style across any LLM you use</p><p> • What plugins package up and why they're bigger than MCPs</p><p> • Where hooks, scripts, and connectors fit inside the larger...

<p>What's really happening inside software security when Mozilla points Anthropic's Mythos at Firefox and ships fixes for 271 vulnerabilities in a single release cycle?</p><br><p>The common story is that AI found bugs — but the reality is that the sentence "a good human engineer wrote this" is becoming a much weaker security claim than it used to be, and that changes everything about how we build.</p><br><p>In this video, I share the inside scoop on why trusted human code is ending as an era:</p><br><p>• Why human authorship was never about perfection but abou...

<p>What's really happening inside OpenClaw when everyone is arguing about the model layer but missing that the runtime itself changed shape in April?</p><br><p>The common story is about Anthropic versus OpenAI and subscription policies — but the reality is that OpenClaw crossed into serious work mode, and once you can swap brains through a durable work layer, memory becomes the strategic layer that matters most.</p><br><p>In this video, I share the inside scoop on what April's releases actually mean for builders:</p><br><p> • Why OpenClaw is becoming a runtime abstraction for serious agentic work...

<p>What's really happening inside the platform fight for agents when everyone is building demos where an AI clicks buttons but missing the strategic layer underneath?</p><br><p>The common story is that computer use levels the playing field — but the reality is that the visible work the model does is distracting us from who defines what the button means, and that's where the real moat lives.</p><br><p>In this video, I share the inside scoop on why semantic work primitives matter more than access:</p><br><p> • Why there are three layers to keep in your head...