The future of UX is API/CLI. For example, yesterday, Google released open-sourced a single CLI for all of Google Workspace and it's built for both humans and AI agents. https://t.co/GvnS0vzE6n What it does: → One command-line tool for Drive, Gmail, Calendar, Sheets, Docs, and

In SaaS: Value shifts from UI layer to orchestration layer. Agent frameworks become primary interface. APIs become more important than dashboards. Whoever owns execution layer owns enterprise leverage.

The hiring conversation is changing fast. "Should I buy GPUs instead of hiring?" is now a real CFO question. Token costs sit next to salaries in budget reviews. Revenue per employee is the new efficiency metric. We're witnessing labor get re-priced in real time — not by

This is why electricity cost is up btw

𝐎𝐩𝐭𝐢𝐦𝐢𝐬𝐭𝐢𝐜 𝐅𝐫𝐢𝐝𝐚𝐲: AI today is the worst version you will ever experience. It only gets better from here. This is the most limited AI you will ever use again. Every month, AI becomes faster, cheaper, and smarter than before. What feels impressive now will look

The companies winning in 2026 aren't the ones with the best AI models. They're the ones who reorganized around tinkerers, eliminated handoffs, and made token spend their biggest line item after salaries.

You can have the best product strategy in the world. If the org structure forces 6-week handoff chains, 8-person context meetings, and functional silos where nobody owns the customer outcome — the strategy dies in execution.

In AI age, there is no demand for average apps. Nobody wants the average thing. People want the best and that is why only 1-2 apps will take the most market

All battles are internal ones!

High-performing teams need three things: clear outcomes (what we're trying to achieve), decision rights (who decides what), and psychological safety (permission to disagree, experiment, and fail fast)

Speed without governance is a liability in FSI and healthcare

https://t.co/eYaSCdtps5

Crypto companies pay their employees in fiat, Google employees use iPhones, Waymo has live customer oversight. AI is supposed to obsolete SaaS, but OpenAI and Anthropic run on Salesforce.... maybe the real world is not what social media says it is ;)

The mind is a "guessing machine" and that every solution to a problem starts with a guess that is then tested and corrected.

The most valuable openclaw wrapper would be an agent that watches you work for a week, learns everything you do, then does 80% of your job autonomously. I see hundreds of new skills and plugins shipping on GitHub every day. That's bottom-up: one workflow at a time, one

Enterprise customers don’t struggle because their data is missing—they struggle because it’s fragmented across systems, lacks enterprise context, and can’t be trusted or acted on consistently.

AI is great to get a prototype to ~70%, but vague prompts can ship hidden bugs, security leaks, and messy code. Better workflow: 1. Plan first ( https://t.co/8iA86Ct3CM) 2. Ask the AI to Plan: Use the AI to propose different approaches, point out risks, and break the work into

We need a universal "plug in my brain" protocol. So that I can connect with my goals, skills, task, preferences across AI tools.

What’s actually happening in SaaS Mrket: We’re watching value shift from tools to outcomes. From: • Seats → Decisions • Workflows → Execution • Dashboards → Automation Vendors that have data, drive outcomes, create learning loops that expand their data and context depth

The good news: if AI is better than you at everything, you’ll have more time to sleep and exercise.