RT @sreeramanmg: Most people think AI trust is a technology problem. They’re wrong. Trust in AI is, and always has been, a human problem.….

Most people think AI trust is a technology problem. They’re wrong. Trust in AI is, and always has been, a human problem. As Fei-Fei Li, one of the pioneers of modern AI, said:. “Technology is not good or evil. It’s the people who design it and the people who use it that

Mobile apps won't be around forever. The way we interact with technology is about to change, and fast. Global app downloads have begun plateauing. Not because people use their phones less, but because how we use them is fundamentally shifting. The superapp era is already here.

I’ve spent the past year building AI agents that work in production. Not demos. Not prototypes. Real systems handling millions of customer conversations. Here’s what nobody tells you about the stack:. Everyone obsesses over which LLM to use: GPT-4? Claude? LLaMA?. That’s like

The projection of the AI agent market hitting $32.5 billion by 2034 doesn't surprise me. I've been building AI agent infrastructure at What I'm seeing firsthand matches these projections perfectly. $5.2 billion today. $32.5 billion in 10 years. That's

Agents won’t just support markets. They’ll participate in them. We’re entering an era where AI doesn’t just act - it transacts. Today’s agents summarize meetings, write drafts, and recommend content. They operate inside safe, bounded domains. But give them a wallet, a budget,

We don’t trust systems because they get everything right. We trust them because their behavior is predictable and makes sense over time. Explainability isn’t UX polish, it’s a systems problem. Most people assume explainability means transparency. That if an agent can’t

Not every agent needs a face. Some should talk. Others should listen. And the best ones? You barely notice they’re there. Agent UX in 2025 isn’t about making AI feel “human.”.It’s about deciding when not to interrupt. We’re moving from chatbot-centric thinking to systems that

AI agents aren’t just tools anymore. They join Slack threads, file tickets, comment in Notion, and even lead handoff meetings. They don’t just automate tasks. They participate in workflows, with names, roles, schedules, and sometimes opinions. This is the rise of the

Most AI agent pilots succeed. But almost none of them scale. Why? Because pilots optimize for possibility. Production demands repeatability. An agent who works in a demo isn't enough. In production, you need it to operate reliably under real conditions - across noisy data,

RT @manishkumar_dev: 🚨BREAKING: I just found an insane tool for workflow automation. It even connects 100+ apps instantly. One platform →….

Most teams ask: “What can our AI agent do?”. But high-performers ask: “How do we know it’s doing it well?”. Most teams launching AI agents focus entirely on capabilities such as what tasks it can complete, how fast, and how often. But once an agent is in production, the real

The real promise of AI agents is NOT in replacing people, it is in reshaping how people work. The best outcomes happen when agents are designed to collaborate, not just automate - a core idea in Fei-Fei Li’s vision for human-centered AI. They take on the repetitive, the

Most people hear "AI in healthcare" and think diagnostics, robot surgeons, or ChatGPT playing doctor. But the most valuable transformation is happening far earlier in the patient journey. It’s the automation of everything that isn’t medicine:.– Intake forms.– Care gap alerts.–

After years of building AI automation tools, I can tell you: the doomsday predictions are missing something big. Last week, Anthropic’s CEO said AI could wipe out half of all entry-level white-collar jobs in 5 years. But that’s not how economies actually work. Fear-mongers

AI agents are quietly transforming financial services behind the scenes. Most people still think “AI in finance” means chatbots, but the reality is far more advanced. These autonomous systems now handle workflows that once required entire teams of specialists. Today, AI agents

I've been building AI systems for years, and I've realized something that fundamentally changed how I approach this work. We're not just building tools anymore. We're building systems that work alongside people, making decisions that ripple through real human experiences. When

The only AI agent you’ll need for ecommerce is here. We built Commerce Copilot to bring real-time discovery and support into one thread. Fewer dropped carts. Faster answers. Less ticket load. Check it out on Product Hunt #Aiautomation #Aiagents.

I’ve been watching the marketing world reshape itself in real time while building AI agent infrastructure. Campaigns that used to need whole teams now run end-to-end with a single agent. What took weeks now takes hours. What used to be quarterly optimization? Now loops every

Meta just announced something that should concern every marketing agency. Their AI will create entire ad campaigns from a product image and budget. Video, imagery, text, targeting. Everything automatically generated. Think about what this actually means. You upload a