With tonight's World Cup group-stage matches coming up, I was looking for a better way to compare predictions. Then I found a free platform that tracks how AI models perform across the entire tournament. ⚽️104 matches. 🤖9 AI models. 📊One public scoreboard. @SportEvalAI is turning the 2026 World Cup into a live AI prediction leaderboard, and honestly, it's the kind of tool I'll be using throughout the World Cup. Here's why👇

Yesterday I wrote about @airtap_ai, which lets an AI operate real mobile apps on a phone. That unlocks a different kind of automation: not just answering questions, but handling tedious phone workflows. A few I’d actually use: Morning briefing: open email, calendar, weather, news, and messages, then tell me what needs attention. Timed bookings: try for restaurant reservations, gym classes, flight check-ins, or product drops the moment they open. Grocery cart: turn a weekly meal plan into an Instacart or Whole Foods cart, then let me review before checkout. Loyalty sweep: open coffee, airline, hotel, and credit card apps to activate offers and flag expiring points. The trust question matters. I’d start with tasks where Airtap prepares, monitors, drafts, or queues the action, then asks before anything sensitive is finalized. But the direction is clear: AI agents are crossing the mobile gap, from browsers to real apps on your phone. What phone task would you hand off first?

The pizza dinner test. We get together as a family for pizza on Sunday nights. Lately, those dinners have also become a place where I test new AI systems. This week’s test: @airtap_ai, airtap.ai. Airtap is different from a normal AI assistant. It can operate mobile apps on a phone: tap, scroll, type, wait for the right moment, and move through real app workflows. The example that made it click for me was timed mobile tasks. Think restaurant reservations that open at midnight. Gym classes that fill up in seconds. Flight check-ins where seat choice matters. Limited product drops where speed and timing matter. Instead of sitting there with your phone open, you can set up the workflow from your computer and let Airtap run the phone steps for you. That is not a normal chatbot task. It is a phone task. Airtap’s pitch is simple: Stop running errands for your phone. More tomorrow on the workflows I’d actually trust it with.

Most AI tools generate answers. MiroMind generates verifiable reasoning. Here’s why that matters A THREAD 🧵

this AI agent reads facebook business groups, builds the tools they keep asking for, and mails it on a postcard. here's how solo founders can land "pre-sold" b2b customers without writing a single cold email: - scans facebook business groups 24/7 for problems with 50 owners agreeing in the comments - picks the strongest validated pain each morning - builds a working tool for it overnight, deploys to its own url - finds the original poster's business address from public records google maps - mails them a postcard with their company name on it qr code linking to the tool - replies in the original thread when the tool's live, tagging everyone who agreed every step from a public facebook complaint to a paying customer is automated. runs on myclaw.ai so the agent is always awake

this AI agent reads facebook business groups, builds the tools they keep asking for, and mails it on a postcard. here's how solo founders can land "pre-sold" b2b customers without writing a single cold email: - scans facebook business groups 24/7 for problems with 50 owners agreeing in the comments - picks the strongest validated pain each morning - builds a working tool for it overnight, deploys to its own url - finds the original poster's business address from public records google maps - mails them a postcard with their company name on it qr code linking to the tool - replies in the original thread when the tool's live, tagging everyone who agreed every step from a public facebook complaint to a paying customer is automated. runs on myclaw.ai so the agent is always awake

Has an AI agent ever confidently given you the wrong answer? 😬 Or taken the lazy route, skipped the hard reasoning, and still sounded certain? That’s the thing I keep running into with “research agents.” Fast answers are easy. Verifiable answers are much harder.

Taste is what makes you stand out in the AI era. And taste is knowing what is actually correct. I have been testing MiroMind, and it’s the first "General Purpose Solver". It actually prioritizes verifiable reasoning over probabilistic guessing. A few things about it: • Verifiable Reasoning Chains: It provides a 300-step, human-readable, and auditable chain. If the reasoning can't be replayed, it's unqualified • DAG-Based Architecture: It supports branching, rollbacks, and replanning. It acts like a senior analyst navigating complex logic • 4-Role Verification: Every output is cross-checked by an internal kernel: Planner → Executor → Chain Checker → Verifier MiroMind is literally for everyone, including engineers, doctors, professors, lawyers, researchers, and more.

Google keeps preparing its upcoming Gemini Omni models for the release. > Gemini Omni model will be available on APIs as well > The model will be considered as Agent, similarly to Deep Research on AI Studio Soon? 👀 P. S. Just a reminder that Nano Banana 1 wasn’t better than Imagen v4

Introducing Anijam AI — the first AI Animation Agent on your phone. Your story idea should not die before you open professional software. Just tell Anijam your idea. It does the rest. Available now on iOS & browser.

AI agents sound magical until you spend your evening configuring them. That’s why MyClaw is interesting. The latest OpenClaw shipped with 13,700 skills. MyClaw makes it managed, cloud hosted and one click to use. This is how agents should feel. myclaw.ai/