Your Vibe-Coded App Works. Is It Ready for Customers?
A field guide for deciding when a vibe-coded app can move from internal testing to real customers.
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Your Next User Is an AI Agent
Products built for people need new identity, authority, observability and recovery controls when AI agents become active users.
Jev Shows That Not Every AI Call Should Generate Text
Jev returns bounded choices and probabilities instead of prose. Its real lesson for product teams is where generation should end and ordinary software should take control.
Voice Agents Need Two Brains
Production voice agents need one loop for live conversation, another for reliable execution, and application-owned state between them.
The 24/7 Hermes Agent Setup We Actually Use
Hermes stays online on a cloud server, while Codex work moves between our MacBook and 128GB Mac Studio.
Loop Engineering: The Work Moves From Prompting to Control
Loop engineering shifts the work from prompting agents to designing triggers, durable state, verification, limits, and human gates. Here is where it works and where it breaks.
Your AI Moat Is the Learning Loop
Satya Nadella’s Reverse Information Paradox points to a real enterprise risk—but data leakage is only half the story. The deeper challenge is retaining what our teams teach AI.
Deploying the Stack: How to Host Your AI Prototype
A practical guide to taking AI-built prototypes beyond localhost: hosting, backends, databases, auth, and real-user readiness.
AI is making hardware expensive. Software is next.
AI infrastructure demand is already leaking into hardware prices through memory and storage. The next shock may be the AI subscriptions companies are building workflows around.
Stop Prompting. Start Delegating.
AI agents are moving from chat windows into real workflows. PMs now need to design delegation: memory, permissions, evaluation, orchestration, and accountability.
The Next AI Product Skill Is Designing the Loop
The next AI product advantage will not come from another AI button. It will come from designing the loop that turns model output into better work over time.
The Next AI Moat Is What the Product Is Allowed to Know
Model quality still matters. But the products that win will be the ones with the deepest context, the most useful memory, and the clearest permission layer around what agents can know and do.
AI News
OpenAI’s Hugging Face Incident Turns Agent Evals Into Production Risk
The OpenAI–Hugging Face incident shows why agent evaluations need production-grade access controls, monitoring, stop paths, and recovery.
AI News
Gemini 3.6 Flash Makes Cost per Completed Task the Model Metric
Gemini 3.6 Flash may lower token spend. PMs should compare cost per accepted task across model calls, tools, review, and recovery.
AI News
OpenAI Presence Moves Agents From Demos Into Operations
OpenAI Presence packages the operating layer around enterprise agents. PMs still need clear authority, handoffs, ownership, and accepted-outcome metrics.
AI News
Australia Puts AI Infrastructure and Rights Into One Framework
Australia’s proposed AI standards connect data-centre energy, creative rights, and AI market access inside one regulatory framework.
AI News
Claude for Teachers Turns Curriculum Into Product Infrastructure
Claude for Teachers shows how vertical AI becomes useful through trusted domain context, workflow integration, and product-specific data rules.
AI News
Meta AI Adds Human Review Before Parent Alerts
Meta’s teen-distress alerts show how high-stakes AI products can automate detection while keeping intervention authority with trained reviewers.
AI News
Meta Muse Moves Image Generation Into Social Workflows
Meta’s Muse Image launch shows image generation moving from standalone tools into the places where people already create and share.
AI News
GPT-5.6 Rollout Shows Model Access Is Product Strategy
OpenAI’s GPT-5.6 rollout shows that frontier model launches are now also about access, timing, and packaging — not only raw capability.
AI News
GPT-Live Makes Voice a Product Surface Again
OpenAI’s GPT-Live launch is a reminder that voice is becoming a real product surface, not only an accessibility layer or demo feature.
AI News
OpenAI’s Jalapeño Chip Makes Compute a Product Strategy Question
OpenAI’s Jalapeño chip announcement is a reminder that AI product strategy increasingly depends on compute, latency, and cost — not just model quality.
AI News
Figma Moves Agents Onto the Product Canvas
Figma’s agent and code-layer announcements point to a deeper shift: the product canvas is becoming a more executable workspace.
AI News
Claude Tag Turns Slack Into an Agent Workspace
Claude Tag is less about putting a chatbot in Slack and more about turning AI into a governed participant in team workflows.