This self-reloading magnet dispenser is the type of invention you didn’t realize you needed until you see it in action and can’t picture life without it. Maker EmGi has created a handheld tool that places neodymium magnets precisely where you want them, with the correct orientation every time, and loads the next one from a built-in stockpile so you never have to pause to fiddle around for the next one.

EmGi began with a simpler version last year, as the original tool employed a simple plunger with a fixed magnet on the end to pick up and pop discs in without getting your fingers in the way or worrying about the polarity flipping at the last second. It did the trick for casual use, but the tip was a little awkward to get into tight spaces, and reloading required stopping to search for individual magnets in a clump. Anyone who has ever attempted to assemble a grid of magnets or arrange them in small pockets understands the irritation, as magnets appear to snap together out of nowhere, stick to your tools, or spin to the incorrect side just as you are ready to push them into place.

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The new design resolves both of these issues. EmGi has managed to reduce the tip size so that it can fit into confined areas, and added a self-feeding magazine. Simply pack a stack of magnets into the body, and each press of the lever moves the next one to the ready position. The mechanism is based on a rack and pinion system that converts the plunger’s motion into a precise tiny nudge. One press separates the bottom magnet from the rest of the stack while dragging it along a guided path to the tip, where a permanent magnet keeps it in place and the attraction pulls the disc along without allowing it to spin or flip over.

Nailing that sequence took a bit of trial and error. Magnets can be stubborn since their fields resist movement. Press too quickly, and the disc will shoot right off. If you press too slowly, it will stick back to the stack. Emgi experimented with various slopes, adding a tiny edge to the tip to give it more control over speed, and modified the design until the magnet simply slides into position. Slow motionfootage shows the disc tipping smoothly onto the tip and remaining in the proper orientation. Then it’s merely a clean press into its slot, a release, and the next one is ready for you when the lever returns.

If you have a 3D printer, assembly is a breeze because the body, case, tip, gear, picker, and lever are all printed in PLA. Five screws hold all of the main parts together, a rubber band provides the tension that causes the lever to spring back into place, and a few little neodymium magnets simply slot into pre-drilled holes, one at the tip to keep things secure and a few more in the mechanism to help guide things along. They’ve created variations for the most common sizes, such as 6x2mm, 5.1mm, and 8.2mm discs. If you’re feeling daring, head over to MakerWorld and get the files for free; printing one should be as simple as getting some filament and waiting for it to print.
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As video advertising output accelerates across platforms, a new challenge has emerged: volume alone no longer guarantees effectiveness. Brands are producing more content than ever, yet performance remains uneven – often because creative decisions are reviewed subjectively and far too late in the process. A growing class of AI-driven validation tools is attempting to change that by bringing predictive analysis earlier into the creative lifecycle.

Instead of relying solely on post-campaign metrics or human interpretation, these systems use machine learning to assess whether an ad is structurally sound before it goes live. The goal isn’t to replace creativity, but to give teams clearer, earlier signals about what works, what doesn’t, and why.

Why creative validation is becoming a tech priority

For many marketing teams, the bottleneck isn’t a lack of ideas – it’s a lack of confidence. Human review cycles are slow, subjective, and inconsistent. Meanwhile, performance feedback usually arrives only after media budgets have already been spent, meaning weak creative can slip through despite heavy investment.

AI-driven validation offers a different path. By analyzing large libraries of historical ads, these tools identify patterns linked to engagement, brand recall, and call-to-action clarity. The promise is consistency at scale – evaluating creative quality using the same criteria, every time, across formats and channels.

Merging production insight with media planning

A key trend is the integration of creative assessment directly into media planning workflows. Rather than treating production and distribution as separate stages, some platforms now evaluate creative readiness during planning itself, helping teams decide which assets are worth amplifying.

Alison.ai’s Preflight Plus tool exemplifies this approach. It runs automated checks based on Google’s ABCD framework – Attract, Brand, Connect, Direct – to determine whether a video ad meets foundational best practices. While not the only platform in this space, it reflects a broader shift toward validating creative structure before budget commitments are made.

How computer vision is transforming creative analysis

At a technical level, these systems rely heavily on computer vision, scanning video content frame by frame to identify elements such as logo visibility, pacing, facial presence, text overlays, and visual hierarchy. These signals are then quantified, enabling creatives to be scored and compared more precisely.

Alison.ai describes this as its “Creative Genome” – a model that breaks ads into discrete visual and conceptual components. Similar techniques are emerging across ad-tech, signaling a move toward more granular, data-driven creative decision-making.

Reducing bias and increasing alignment

The practical benefit for marketing teams is alignment. Objective scoring helps bridge the long-standing divide between creative teams prioritizing storytelling and performance teams focused on measurable outcomes. Instead of debating subjective opinions, teams can work from shared data points that highlight where an ad may need refinement.

This shift also reduces dependence on multiple fragmented tools. When validation, feedback, and planning live inside a single workflow, teams spend less time navigating systems and more time improving the work itself.

Toward accountable AI in creative workflows

More broadly, this marks a push toward accountability in AI-assisted and AI-generated content. As generative tools speed up production, validation layers are becoming essential to ensure that increased output doesn’t come at the cost of effectiveness.

Preflight Plus – and tools like Alison.ai’s Agentic Video Ideation Flow – reflect an emerging creative model: AI that not only generates concepts but also evaluates whether those ideas are structurally prepared to perform. While implementation varies across platforms, the direction is clear – creative technology is moving upstream, closer to the moment decisions are made.

In a landscape where attention is expensive and mistakes are costly, early-stage creative intelligence may soon shift from competitive advantage to industry standard.

Digital Trends partners with external contributors. All contributor content is reviewed by the Digital Trends editorial staff.

Samsung appears to be tightening internal security as it heads toward its next major product cycle.

According to reports from The Korea Herald, the company has introduced a new secure chat mode within its internal communications system. This was done in an effort to curb leaks surrounding upcoming Galaxy devices, including the expected Z Fold 8 and Galaxy S27 lineup.

If you follow Samsung launches closely, you’ll know how early details tend to surface. By mid-2025, much of the Galaxy S26 Ultra’s camera upgrades had already leaked, and most of it turned out to be accurate.

Additionally, well-known tipsters often reveal specs and design changes months ahead of launch. As a result, there is little surprise when Samsung takes the stage.