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Researchers recently ran 49 popular agent skills through 565 real software engineering tasks. 39 of them moved the pass rate by exactly zero, while token bills climbed as much as 451%. The study is a preprint with preliminary results, but the pattern holds: most installed skills are paying overhead for advice Claude already follows. Design is the exception. Anthropic’s own 400-token frontend skill visibly transformed identical prompts because design output gets judged at a glance.

Grok Imagine renders a six-second, 720p video in about 25 seconds, according to xAI’s Video 1.5 release notes. That speed kills the old bottleneck of waiting on a render. It creates a new one: knowing how to use Grok Imagine well means shipping something on-brand before you burn through your usage limit on near-misses. Most people open the tool, type a prompt, and generate straight to video. That’s the wrong order.

Tacit knowledge is expertise built through years of practice that people apply without being able to fully explain it. Michael Polanyi, who named the concept, summed it up as “we can know more than we can tell.” But tacit knowledge can beome an organizational risk when critical information sits inside the head of one expert. What happens when they’re not available? Transfering that knowledge to others is essential, but if the expert cannot explain it, that’s when you have a problem.

Meta’s Threads launched in July 2023 and reached 100 million signups in five days, making it the fastest-growing consumer app at the time. But the launch number hid what came next. By July 31, daily active users had fallen by about 82% from their peak, from 44 million to fewer than 8 million, while average time spent dropped from 19 minutes to 2.6 minutes. For product OKRs, that gap matters.

“MCP vs. API” sounds like a choice between two competing technologies. But they sit in the same stack. An API exposes what a system can do. An MCP server can then make selected capabilities available to AI applications, whether those capabilities come from an API, a database, local files, or another source. So the comparison isn’t whether MCP will replace APIs or how they inherently differ.

See exactly how 4 agencies fixed their marketing stack. One setup at a time. ✅ Campaign visibility in one view ✅ Client requests routed automatically ✅ Feedback and approvals attached to the work ✅ Reports that build and update themselves ✅ New clients onboarded without the chaos

Most sprint rollover doesn’t start with a bad estimate. In Easy Agile’s survey of 419 development professionals, dependency delays accounted for 36% of rollover, ahead of scope change, underestimation, and unplanned work. A two-week sprint can be sized perfectly and still stall, because the upstream team you depend on commits its work two days after you commit yours. Nothing you do inside your own sprint fixes that. Not a tighter estimate, not a better standup.

Nearly 9 in 10 organizations now regularly use AI, yet only 39% see an EBIT impact at the enterprise level. Safe to say, adoption is universal, but results aren’t. If marketing agencies want to avoid getting stuck in this gap, they need to stop using Claude as a casual, browser-based AI. The agencies seeing returns let Claude draw from live task status, not pasted fragments. That’s the difference between a brainstorming toy and a tool that touches your margin.

Select the tools your team uses and see your personalized savings report in under 2 minutes. HOW IT WORKS 1 Select Your Tools Pick the apps your team uses across 13 categories: PM, chat, docs, whiteboards, and more. 2 Enter Team Size Optionally adjust per-user pricing to match your actual contracts. 3 Get Your Report See total spend, recommended ClickUp plan, and estimated annual savings. Export as PDF. Stop Paying for Tools That Don't Talk to Each Other The calculator shows the problem.