Mehul Thakkar

Do Not Use Claude Until You Read This

Do Not Use Claude Until You Read This

You promised to send the revised Excel model by 5 pm. It is 4:42 pm. There is a REF error somewhere in a workbook with 19 tabs, and nothing makes sense. You paste a formula into an AI chat and get a generic answer that does not match your sheet. This is the gap many professionals still feel with AI in 2026. Tools are powerful, but disconnected from real workflows. That is why the recent Claude usage model is getting attention, not because it is louder, but because it feels closer to how actual work happens.

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AI Benchmarks vs Real Workflows in 2026

AI Benchmarks vs Real Workflows in 2026

AI models keep breaking records. Every few months, a new release tops a leaderboard and claims better reasoning, higher accuracy, or improved performance. But when these same models are placed inside real workflows, many teams still struggle with reliability, cost control, and consistency. The question is no longer who wins the benchmark race. The real question is what actually works in production.

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OpenClaw Explained: How It Works and Is It Safe

OpenClaw Explained: How It Works and Is It Safe

AI agents are no longer limited to answering questions. Some of them can now take action on your machine. OpenClaw, also known in some discussions as Clawdbot or Moltbot, is one of the most talked about examples of this shift. It connects a large language model to your system, allowing it to execute tasks via chat commands.

That power is impressive. It is also the reason safety concerns are trending.

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Latest Excel Updates in 2026 Explained Simply

Latest Excel Updates in 2026 Explained Simply

When Excel releases updates, most people expect cosmetic changes or small tweaks. But some releases quietly improve how everyday work gets done. The January 2026 Excel updates fall into that category. Instead of adding flashy features, they focus on smoother workflows, clearer error handling, better data access, and more practical automation.

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Why AI agents fail without strong workflows

Why AI agents fail without strong workflows

AI agents are having a moment. They plan tasks, reason across steps, and respond like a capable assistant. Demos look smooth. Early trials feel impressive. It is easy to think that once an agent is added, the work will take care of itself.
Then reality shows up. Tasks stall. Outputs need fixing. Humans quietly step back in. The agent is still there, but the workflow is doing most of the heavy lifting.

This is not because AI agents are weak. It is because workflows decide whether they succeed or struggle.

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Power Query vs DAX: How to place logic correctly in Power BI

Power Query vs DAX: How to place logic correctly in Power BI

Many Power BI issues do not start with poor visuals or weak calculations. They start much earlier, when logic is placed in the wrong layer. Reports become slow, models turn confusing, and small changes take longer than they should. The question of whether logic should live in Power Query or DAX is not technical trivia. It directly affects performance, clarity, and long-term usability.

This blog explains how to think about that decision in a practical way.

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