Enterprise AI teams are giving agents more freedom at the same moment their confidence in automated testing is collapsing.Half of enterprises have deployed an AI agent or LLM feature that passed internal evaluations and yet still caused a customer-facing failure — one in four more than once — according to the June 2026 VB Pulse survey of 157 qualified enterprise respondents at companies with 100 or more employees.The sample is self-selected rather than a probability sample, so the findings should be read as directional, not precise.But enterprises are not responding by slowing automation: 66% of respondents already permit some production deployment without human review or are building systems intended to do so within the next 12 months. Only 5% say they fully trust the automated evaluations that would make those release decisions.That mismatch is the evaluation gap: the autonomy ceiling is rising faster than the assurance beneath it. It also fits a broader thesis that will be explored at VB Transform 2026: enterprises ship agents first, while the control layers around identity, evaluation, cost, context and orchestration are arriving later. The next year will be a retrofit cycle, with buyers shifting budget toward the systems that make agentic deployments governable and dependable.Why a passing evaluation is not a working agentTraditional software testing usually asks whether a defined input produces an expected output. Agent testing is harder because the system may choose its own sequence of steps, call tools, retrieve data, alter state and respond differently from one run to the next.An agent can make several individually plausible decisions and still reach the wrong result. It may retrieve the correct account but update the wrong field. It may draft a valid refund request but send it without approval. It may call five tools successfully before a sixth step leaks sensitive information or leaves a workflow incomplete.The survey shows enterprises already recognize this limitation. The most common reason for distrusting automated evaluation is poor alignment with real-world outcomes, cited by 29% of respondents. Bias or inconsistency follows at 21%, lack of explainability at 18%, and data leakage or privacy concerns at 17%.That hierarchy matters. Enterprises are saying the score often does not predict what happens when a customer, employee or business process encounters the agent in production — not that automated scoring is too slow or expensive.NIST makes a similar point in its Generative AI Profile: measurements gathered in controlled environments may not transfer cleanly to deployment because behavior changes with prompts, users, context and operating conditions. Its guidance calls for field testing, post-deployment monitoring and clear processes for escalating failures.Capability is not consistencyA single successful run proves that an agent can complete a task. It does not prove that it will complete the task reliably.Anthropic’s guidance on agent evaluation distinguishes between measuring whether a system succeeds at least once across repeated attempts and whether it succeeds every time. That distinction is essential for customer-facing or operational workflows. A model that occasionally produces an excellent answer may still be unacceptable if the same task fails unpredictably on the next attempt.Enterprise teams should therefore treat repeatability as a first-class metric. That means running the same scenario multiple times, varying phrasing and context, testing tool failures, and measuring whether the final business outcome remains correct even when the route changes.The evaluation set also has to evolve. Every production incident should become a permanent regression test. Customer escalations, failed tool calls, incorrect approvals and data-handling mistakes should feed back into the pre-deployment suite rather than remaining isolated support cases.Autonomy should expand by risk, not by ambitionThe survey does not imply that every agent action should require a person. Human review cannot scale across millions of low-consequence decisions.But zero-human operation should be earned by demonstrated reliability and bounded by the consequences of failure.Low-risk actions such as drafting internal summaries or categorizing documents can tolerate broader autonomy. Financial transactions, customer communications, code deployment, access-control changes and data deletion need stricter thresholds, repeated consistency tests, policy checks, rollback mechanisms and clear human escalation paths.The risk isn’t evenly distributed by company size, either. Larger enterprises — those with 2,500 or more employees — are moving toward zero-human deployment fastest, at 70% versus 64% for smaller companies, and they’re also shipping more agents that go on to fail a customer, at 54% versus 48%. That is the warning for enterprise leaders. Removing the human from the loop does not remove uncertainty. Without stronger assurance, it converts uncertainty into an automated production decision.The market will keep pushing toward greater autonomy because the economic incentive is real. The organizations best positioned won’t be those that remove people fastest — they’ll be the ones that treat repeatability and regression testing as seriously as deployment speed.
Should you lock in a 4% CD rate now? Here’s how to decide on the next move for your cash.
CD rates are at a standstill, but that could change after the next Fed meeting, or the one after that.
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This Auto Insurer Is Offering a ‘50% Discount’ to Customers With Self-Driving Cars
Could self-driving cars be the secret to cheaper auto insurance?
It’s early days, but some signs are pointing in that direction. The insurance company Lemonade, for instance, is already advertising a “50% discount” to Tesla drivers when Full Self-Driving (Supervised) mode is engaged.
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Human errors are often behind car crashes, making roads less safe and contributing to the cost of car insurance. Replace human drivers with less-mistake-prone computers, and the cost to insure self-driving cars will fall to a fraction of present amounts.
At least, that’s the idea.
“The consensus view is that increasing vehicle autonomy will materially reduce accident claim frequency,” Robert Hartwig, former president of the Insurance Information Institute and now an associate professor at the University of South Carolina’s business school, tells Money in an email. “All else equal, declining accident frequency will result in fewer claims and lower insurance costs. The problem is that ‘all else’ is not equal.”
Even if autonomous driving can reduce crashes, there are several reasons self-driving cars could fail to deliver insurance savings. A big one: Repair costs could rise as automakers add expensive sensors and cameras that must be fixed and recalibrated after collisions.
Here’s what else you need to know.
Will self-driving cars slash car insurance costs?
Tesla and Waymo are the leaders in self-driving technology. Both already have cars on the road with autonomous or partially autonomous driving features that can take passengers from point A to point B.
Waymo’s most recent ads tout that its vehicles — which boast a system that “never blinks” — are much safer than cars driven by humans, who may be inexperienced, tired, angry, intoxicated or otherwise slow to react.
But because Waymo is focused on robotaxis, the cost of consumer car insurance currently has little bearing on the Google-owned company.
For Tesla, it does. The company prices its Full Self-Driving (FSD) add-on subscription at $99 per month, claiming that it “improves U.S. road safety by over 80%.” To hear Tesla tell it, the value proposition of FSD isn’t just a better and safer driving experience — it’s also cheaper insurance.
Tesla drivers using Tesla Insurance, the company’s in-house option, can take advantage of an FSD discount: The score-based insurance pricing model awards drivers a perfect 100 score for FSD miles, resulting in “lower insurance premiums over time,” according to Tesla’s website. Lemonade’s discount, now in four states, has a similar premise but a somewhat different structure.
While Americans are starting to see more self-driving cars on the roads, Tesla, Waymo and the companies trying to catch up to them still have work to do. They must prove to regulators that their technology is safe enough for broader approval and show insurers that it is safe enough to warrant discounts. Both are crucial to getting the general public to buy in.
But insurance experts stress that there’s a difference between the statistics you see in a flashy commercial and the type of rigorous data science that actually gets new tech accepted for the road.
“Tesla’s safety reporting statistics are unmoored from reality,” says Bryant Walker Smith, an associate professor of law at the University of South Carolina, who studies self-driving cars.
A recent report from Reuters alleged that Tesla made apples-to-oranges comparisons of its crash rates, unfairly stacking incidents defined by airbag deployment against crashes that involved tow trucks (a lower bar). Outside analysts told the outlet that Tesla vehicles with FSD actually traveled about three times farther between crashes than typical cars — not 10 times farther, as the company had claimed.
The National Highway Traffic Safety Administration also has four active investigations related to Tesla self-driving.
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Lemonade’s discount: The promise — and limitations
The digital insurance company’s FSD discount became available in Colorado in late June following earlier launches in Indiana, Oregon and Arizona. The company says it expects to roll it out to all of the states where Lemonade offers car insurance later this year.
Maya Prosor, Lemonade’s chief business officer, tells Money the company sees “sophisticated,” personalized pricing that better reflects true risk as the solution to the rising cost of car insurance.
“When it comes to Tesla and autonomous driving, the data is already there to showcase that it’s really much safer than humans driving,” she says.
A 50% discount on car insurance surely sounds groundbreaking. But the fine print is important.
Unlike most traditional car insurance policies, Lemonade’s pricing is a pay-per-mile model, and the insurer relies on telematics data from Tesla to determine when FSD is in use. It’s a type of usage-based insurance, or UBI, program.
For example, one Arizona driver posted a screenshot on Reddit of pricing that shows a $98.64 base premium, plus a usage-based charge of about 10 cents for every normal mile driven and a 5-cent charge for every autonomous mile. The 50% discount only applies to the usage-based per-mile charge. The base premium is unchanged.
Lemonade executives acknowledge that the current market for self-driving vehicle insurance is limited. The company wanted to be first out the gate, Prosor says, and sees the discount as a long-term investment to acquire customers.
According to Prosor, some Tesla FSD users are saving 30% to 40% on their car insurance with Lemonade. In online forums, however, users have shared a mix of experiences: Some reported savings, while others said Lemonade’s quotes were significantly more expensive than their current insurance.
Critics of the discount, like Smith, call it pure “marketing,” comparing it to a grocery store that puts an arbitrary $8 list price on a box of cereal, charges $4 (the standard price) and calls it a 50%-off sale.
Others have concerns beyond price. Patrick R., a Minnesota resident who owns a 2025 Tesla Model Y Performance insured by USAA, tells Money he prefers to keep his driving data to himself.
Lemonade “need[s] to connect to your car to verify that you are using FSD to get any discounts,” he says in a message. “That allows them to see how you drive, i.e. speeds, driving times, total miles driven. The Tesla API also allows them to see all the locations you have driven to, as well.”
He adds that he does not pay for FSD because he doesn’t feel it’s worth the cost.
“They would need to give me a discount of more than $99 a month to cover the cost of FSD,” he says.
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Is Your Credit Card Working Against You in 2026?
Credit cards can be a financial tool or a financial burden. And, unfortunately, many consumers are experiencing the latter in 2026.
Between high APR interest and ever-evolving rewards programs, many people find their cards are working harder against them than for them.
The good news is that you can flip that script with a quick checkup on the cards in your wallet.
In this article, I’ll walk you through a simple checkup you can do on your current credit cards to assess if you need to make some changes.
Credit Card Checkup Check List
Let’s do a “wellness check” on your wallet to ensure that your credit cards are working for you, not against you.
1. Are You Regularly Carrying Balances with Your Credit Card?
First, let’s address the elephant in the room: The interest rate on balances for credit cards can be crippling.
In fact, the national average is 23.79% APR, according to data from Lending Tree.
That’s why money expert Clark Howard says it is imperative to pay your balances in full each month if you’re using the cards to earn rewards. Missing just one “in full” payment will dwarf the value of the rewards you received.
(Ex. You could receive 2% back for spending a dollar, but would pay 23% APR on the interest if you carry it forward as a balance.)
So, if you’re spending for rewards … pay the bill in full or don’t use a credit card at all.
If you find yourself in a position in life that requires borrowing money, you’ll likely find that your credit card isn’t the best option for borrowing. We recommend checking with your local credit union for more favorable borrowing terms. But if you need to use a credit card for the short term, we have recommendations for credit cards with 0% APR terms and cards with low APR.
2. Are You Paying an Annual Fee That Doesn’t Make Sense?
Many travel credit cards are well marketed on television, online and on social media to portray the ease and convenience of their travel perks and benefits.
But many of them have also upped their annual fees to fund these privileges. Some top-tier credit cards are asking for annual fees of up to $900 per year.
This can make sense for frequent travelers, but it can be a real money pit for infrequent or aspirational travelers.
I recently tackled this topic in an article urging people to stop paying for credit cards they barely use.
My recommendation is to take a hard look at your spending habits and perk usage with your annual fee cards over the last 12 billing cycles. If you don’t see an easy path to value relative to what you’re paying for the right to use the card, it may be time to downgrade or dump it altogether.
3. Do Your Spending Habits Match Your Card’s Rewards Program?
One of the key pieces to making a credit card work for you is ensuring you’re optimizing the value of the rewards you can earn with your spending.
Making sure you’re paying the bill in full and not paying unnecessary annual fees are the first steps, and then the next is checking your rewards program to ensure you’re being properly compensated.
For years, Clark has recommended carrying a no-annual-fee credit card that offers unlimited 2% cash back on all spending. This is a solid rate of return and can be considered a good catch-all card for everyday spending.
If your card pays you less than 2% back on your spending, you may want to consider finding a new card that levels you up.
And if you already have a card that rewards you with 2% back, you can enhance this further by finding supplemental cards that offer even more cash back in the categories where you spend the most.
This means you could earn 5% back or more on specific spending categories like gas, dining or groceries.
Team Clark offers a cash back credit card tool to help you get started.
4. Are You Getting Dinged with Fees with Your Current Cards?
Beyond annual fees and APR interest charges on balances, there are a few other areas where a credit card could be working against you.
If you’re an international traveler, you likely know the value of a credit card that offers no foreign transaction fees. If you don’t have a card that offers it, you’re like being charged 3% or more on every swipe you make while outside of the United States.
Other fees to watch out for include:
Using your credit card for a cash advance (Don’t do this!)
Late fees (Always set calendar reminders to ensure on-time payments … this can hurt your credit score!)
5. Is Your Credit Utilization Too High?
If you have your cash back rewards, annual fees, and bill payment habits in check, the last area you’ll want to review to ensure your credit cards are working for you is their impact on your credit score.
Making regular, on-time credit card payments is a great way to increase your credit score over time. But they can also have a negative impact if not handled properly.
The biggest dings come from missed payments and delinquent balances, but you could also hurt your score if your credit utilization is out of alignment.
Credit utilization is calculated as a percentage: the amount you owe divided by the total amount of credit available to you. It’s best to keep this under 30%, with a target of under 10%.
So if your total credit line (across all your credit cards and other loans) is $10,000, it’s good to owe less than $3,000, and great to owe less than $1,000.
You can help keep this formula in check by paying balances in full as quickly as possible. But you can also request a credit limit increase to change the math in your favor. Using these two in tandem is likely to produce the best credit score results.
How is your credit card situation shaping up in 2026? We’d love to hear your thoughts in the Clark.com community.
The post Is Your Credit Card Working Against You in 2026? appeared first on Clark Howard.
Starbucks tries something it failed at before
Ten months ago, in September 2025, Starbucks walked into 11,000 stores with NomadGo’s inventory Artificial Intelligence (AI) tool that promised 99% accuracy and counted up to eight times faster than a human.After 9 months, in May 2026, according to Reuters, an internal newsletter retired the entire program. Baristas went back to counting milk by hand.The NomadGo system confused milk varieties, missed products on shelves, and slowed employees down instead of helping them. CEO Brian Niccol had bet on it as part of his turnaround plan. It did not work.Now, Starbucks (SBUX) is trying AI at scale again, but with a meaningfully different approach. According to Bloomberg, citing an internal company presentation, the coffee chain is using AI-assisted coding to build its own internal software, specifically targeting tools that currently run on Microsoft and IBM infrastructure, in a move that CTO Anand Varadarajan framed earlier this year as a chance to cut the company’s $400 million annual software bill.SBUX closed July 9 at $106.41, up 2.45% on the session. The stock is up 27.92% year-to-date, according to Yahoo Finance.Also Read: Starbucks Corporation Latest News and StoriesWhat Starbucks is actually building this time and why it is differentWhat matters now is this. The distinction between what failed and what is being attempted now.The NomadGo inventory tool was a third-party product deployed to consumer-facing operations at the store level. Its failure was operational. Why? Computer vision that could not reliably distinguish between similar products in real retail environments. Yes, that is a hard technical problem that the vendor did not solve before deployment.What Bloomberg reported is a different category of AI initiative. Starbucks is using AI-assisted coding to build internal enterprise software that replaces vendor platforms, specifically IBM’s maintenance management system and Microsoft’s inventory management infrastructure. Internally developed applications are expected to roll out by the end of 2027, pending testing, according to the Bloomberg report.More Starbucks:Starbucks has new plan to beat Dutch Bros, 7 BrewStarbucks adding 5,000 new U.S. stores after closing 100sStarbucks eyes massive change in key marketThe AI-assisted coding angle is the structural shift that makes this bet more credible than NomadGo’s. Building enterprise software from scratch was historically prohibitive for non-technology companies because of the cost, time, and specialized engineering required. Now, generative AI coding tools have meaningfully lowered those barriers. Starbucks has been pushing its tech workers to use AI coding tools aggressively, reportedly factoring AI usage into employee bonuses, Bloomberg reports.The company is also on track to reduce its enterprise technology budget by approximately $30 million in the fiscal year ending in late September, including $10 million in software savings and $13 million from reducing external contractors in favor of internal staff.$400M software bill, $2B turnaround target, and a Starbucks business that is recoveringVaradarajan told employees that Starbucks spends approximately $400 million annually on software and sees “clear opportunities to reduce the spend,” according to Bloomberg. The company is reviewing every technology contract and, in some cases, building its own alternatives for applications that engineers already heavily customize.Starbucks has also been working for several years on a point-of-sale system designed to replace Oracle’s Simphony platform. That’s a separate and longer-running internal development effort that predates the current AI initiative.Related: Starbucks taps childhood nostalgia with 5 new drinksThe technology cost reduction effort is part of a broader $2 billion turnaround program under Niccol, CFO Cathy Smith told CNBC’s Kate Rogers. That context is important for you as an investor reading this story. The AI software initiative is not a vanity technology project. It is a cost reduction lever in a company-wide financial restructuring.The underlying business is showing genuine recovery. Q2 fiscal 2026 results, reported April 28, showed consolidated net revenues up 9% to $9.5 billion, with global comparable store sales up 6.2%, according to Starbucks’ earnings release. North America comparable store sales grew 7.1%, driven by higher transactions and average ticket. Non-GAAP EPS of $0.50 expanded 22% year over year.This is the Starbucks our customers deserve.These were the words Niccol said in the Q2 earnings release.
In September 2025, Starbucks walked into 11,000 stores with NomadGo’s inventory AI tool that promised 99% accuracy and counted up to eight times faster than a human.Universal Images Group via Getty Images
My read: the failure history makes this worth watching closely, not dismissingI want to be direct about what I think is happening here.The NomadGo failure was instructive, but it should not define how investors evaluate this current initiative. Deploying computer vision in a consumer environment to count physical products in real time is a genuinely hard problem. Building internal enterprise software using AI coding tools is a different problem, and one that large technology companies have been demonstrating is solvable.Related: Starbucks has new plan to beat Dutch Bros, 7 BrewWhat concerns me is execution discipline. Starbucks has 41,129 stores, Q2 fiscal year 2026 results, and a history of deploying technology initiatives that do not scale cleanly. The IBM and Microsoft systems being replaced are not trivial: maintenance management and inventory management are operationally critical. Replacing them with internally built software that was developed faster and cheaper using AI coding tools carries real integration risk if the testing process is rushed.The timeline of “end of next year, pending testing” is the phrase I keep returning to. That qualifier exists for a reason. Starbucks has earned some skepticism here, given what happened in May 2026, and the stock’s 27.92% year-to-date gain suggests the market is already giving Niccol meaningful credit for the turnaround.Related: Starbucks, Dunkin’, and Luckin embrace non-coffee products
Upgrade your college dorm or apartment with back-to-school appliance deals starting at $17
TheStreet aims to feature only the best products and services. If you buy something via one of our links, we may earn a commission.There’s still plenty of time left to enjoy summer break, but back-to-school season is quickly approaching. While classes won’t resume for another month at most universities and colleges, it’s never too early to start shopping for dorm room essentials. In fact, getting a jump on your back-to-school shopping will likely lead to better savings, as the best deals on twin XL-sized bedding and mini fridges tend to sell out well before the school year begins. Like most things in the economy, college tuition hasn’t gotten any cheaper, so it’s helpful to save wherever you can on any educational expenditures. Textbooks and school supplies are already a big investment, but for upcoming college freshmen who are moving out of their parents’ house and into the dorm rooms or apartments, there’s also everything else you’ll need to make your new dorm room your own. Whether you require a fluffy mattress topper to get a good night’s rest on the hard bed or a tower fan to keep the small space ventilated, these upfront costs can quickly add up.Out of all the things needed to furnish a bare college dorm room, the most expensive purchases will likely be for the appliances you want to add. From mini fridges and coffee pots to air purifiers and microwaves, there are several small appliances that could make college life a whole lot easier. We’ve searched high and low around the web, including the Walmart College Savings Hub and Amazon’s Back-to-School Shop, to find the best deals on these products. We handpicked selections with the lowest price points, the biggest discounts, and the highest customer ratings to help save you time and money during this busy back-to-school season.Mini fridge deals starting at $97Back in my day (which was longer ago than I’d like to admit), a mini fridge was my most-used appliance. It was stocked with soda and energy drinks in case I needed caffeine to fuel my late-night study sessions. Based on these habits, it’s no surprise I never made it to the cafeteria for breakfast, so the refrigerator was filled with yogurt and coffee creamer to get my day started. The nicest thing about the appliance was having a spot for leftovers or takeout containers, as this tasty food would have been thrown out otherwise. Most universities have a size limit on your refrigerator, but the Mainstays 1.7 Cubic-Foot Compact Mini Refrigerator should definitely fit within the requirements, and it’s on sale for under $100 at Walmart. When shopping for these mini-est of mini fridges, you’ll want to ensure that what you’re buying is actually a refrigerator. Many beverage coolers, which are marketed to fit just 4 to 8 soda cans, don’t get as cold as a normal refrigerator, so they couldn’t safely store meats, milk, and other perishable items. Generally, you should expect to pay at least $100 for a real mini fridge. The Costway 1.7 Cubic-Foot Mini Fridge only costs $110, making it one of the most affordable options at Amazon. If you want something that also has a freezer, because we all need ice cream every once in a while, you can find options for under $150.Mainstays 1.7 Cubic-Foot Compact Mini Refrigerator
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Check price at WalmartCostway 1.7 Cubic-Foot Mini Fridge
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Check price at AmazonGalanz 3.1 Cubic-Foot Mini Fridge with Freezer
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Check price at WalmartFrigidaire 65-Watt Retro Bar Refrigerator
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Check price at WalmartFrostorm 3.2 Cubic-Foot Mini Fridge
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Check price at AmazonElectric tea kettle and coffee maker deals starting at $17If you’re not a morning person, having a coffee maker in your dorm room can be a game changer. There may also be regulations for coffee pots in the dormitory, as continuous warming hot plates can be a fire hazard. Because of this, it’s usually a safer bet to go with a single-serve coffee maker like the Keurig K-Express Single Serve K-Cup Pod Coffee Maker, which is discounted to $70 at Amazon currently. If coffee pots are permitted, or you live near campus in an apartment, you can get the Mainstays Black 12-Cup Drip Coffee Maker for just $17 at Walmart. Another option is making coffee with a French press, which would just require hot water to get started. You could heat water in the microwave, but investing in an electric tea kettle would simplify the process, boiling water in minutes or less. Electric kettles are also great if you want to test out any dorm room cooking hacks, as they offer a resourceful way to simmer ramen noodles or hard-boil eggs. Mainstays Black 12-Cup Drip Coffee Maker
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Check price at WalmartKeurig K-Express Single Serve K-Cup Pod Coffee Maker
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Check price at AmazonDreamosa Small Electric Tea Kettle
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Check price at WalmartChefman Electric Kettle
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Check price at AmazonMicrowave and rice cooker deals starting at $25If your dorm room allows microwaves, and that’s a big if, because many dorm rooms don’t allow them, it will likely be restricted to a unit that’s under 1000 watts. However, college students living in apartments or suites with a dedicated kitchen will have more wiggle room. The most affordable microwave we’ve found is the Mainstays 0.7 Cubic-Foot Countertop Microwave Oven, which is on sale for just $49 at Walmart. It comes in three colors, and two are already showing low stock, so you won’t want to wait to add this one to your cart. Another affordable option is the Farberware 0.7 Cubic-Foot. Countertop Microwave Oven while it’s discounted to $68 at Amazon.Microwaves are great for whipping up quick meals, but if you can’t have one in the dorm room, a rice cooker may be a good alternative. That being said, rice cookers may also not be allowed in the building. If they are, the Dash Mini Rice Cooker costs just $25 at Amazon, and its compact size won’t take up too much space. Farberware 0.7 Cubic-Foot Countertop Microwave Oven
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Check price at AmazonMainstays 0.7 Cubic-Foot Countertop Microwave Oven
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Check price at WalmartDash Mini Rice Cooker
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Check price at Amazon Tower fans and air purifiers deals starting at $30Dorm rooms are notoriously cramped, and smaller spaces don’t always get proper ventilation and airflow. Having a fan can make all the difference in your overall comfort levels. The Mainstays 28-Inch Tower Fan with 3-Speed Settings costs just $30 at Walmart, but if you want something that fits on top of your desk, Amazon’s $40 deal on the Levoit Portable Tower Desk Fan may be a better selection. Air purifiers can also be helpful if your allergies kick up after moving to a new place, but they’re also helpful for managing unwanted smells you may encounter. You can get air purifiers, like the GoveeLife Mini Air Purifier, for as low as $38 at Amazon. If you want something that allows you to add essential oils for relaxation, the Levoit Core Mini Desktop Air Purifier with Aromatherapy has been marked down to just $40 at Walmart. To be a good roommate, just make sure your dorm buddies don’t mind the fragrance.Mainstays 28-Inch Tower Fan with 3-Speed Settings
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Check price at WalmartLevoit Portable Tower Desk Fan
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Check price at AmazonLevoit Core Mini Desktop Air Purifier with Aromatherapy
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Check price at WalmartGoveeLife Mini Air Purifier
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Check price at AmazonTheStreet Shopping is your guide for shopping insights and advice. We look beyond the price tag to find the best value in home, tech, and wellness gear based on product features and real-world use. Read more about our Editorial Standards and How We Choose Our Shopping Deals.