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The life of a junior associate at a prestigious law firm involves hours of research and analyzing contracts. Three years ago, Winston Weinberg found himself buried in these kinds of tasks as a first-year antitrust and litigation associate at OMelveny & Myers in Los Angeles. And there Weinberg might have remained, diligently climbing the BigLaw ranks from associate to partner, logging thousands of hours of drudgery along the way. Instead, hes cofounder and CEO of Harvey, the high-flying legal AI platform thats raised more than $800 million by promising to handle much of this work. A lot of the tasks junior [associates] do are going to get automated, Weinberg says. That doesn’t mean their job’s going to get automated. It’s just going to be a different job. Built atop language models from OpenAI, Anthropic, and Google, Harveys platform streamlines legal workflows by helping lawyers with drafting, contract analysis, legal research, due diligence, regulatory compliance, and case law review. In addition, the technology cuts down on reading time by summarizing complex legal documents and combining databases to research and summarize legal issues. Harvey, which is used by some 250 law firmsincluding 42% of The American Lawyers list of biggest 100 firms in the U.S.announced in June that it raised a $300 million series D led by Sequoia, bringing its total haul to more than $800 million and driving its valuation to $5 billion. Its now the highest valued startup in a growing field of AI companies that are all focused on overhauling how the legal profession works. The companys annualized revenue run rate hit $100 million in August, up from $50 million earlier this year, propelled by an aggressive sales strategy targeting big law firms. Harvey now has 460 employees, 20% of whom are lawyers. The company is also hiring dozens of engineers, sales leads, and account executives as it seeks to increase the moat between itself and its competitors. Whether Harvey ultimately upends the legal procession or winds up burning a lot of cash, time, and effort could reveal that fates of industries as far afield as finance, music, and film. All these sectorsand moreare on a similar curve: exploring whether AI tools can be truly transformative and seeing just how many jobs they’ll reimagineor disappear altogether. Despite its sizable moat, Harvey’s success is far from assured. Investors are pouring money into firms working on rival legal AI agents: Canada-based Clio raised $900 million last summer; Swedens Legora raised an $80 million Series B led by ICONIQ Venture & Growth and General Catalyst in September; London-based Luminance took in $75 million in January. Meanwhile, a growing chorus of criticssounding off on Reddit and elsewherequestion how original Harveys offerings are. “ChatGPT wrapper” is the most common dig thrown by these disaffected apparent users, who note the similarities between the information retrieval capabilities of Harvey and ChatGPT (made by Harveys early investor, OpenAI). Even Harveys cofounders have called OpenAI an indirect competitor. But critics also say the company could be steamrolled by OpenAI, pointing out that the LLM could simply build its own legal-focused model. Im hearing from more and more attorneys that OpenAIs Deep Research is the single best research product on the market, and its what most attorneys use (even when its not a firm approved tool), former lawyer and legaltech investor Zack Abramowitz wrote on his popular substack Legally Disrupted in June. OpenAI itself has begun testing the waters of legal technology. In September, the company published a blog post about creating an internal database to review its own contractsthe feature is not available to consumers. One Redditor, who claimed to be a former employee, recently went even further, drawing a direct comparison to Silicon Valleys most notorious startup: think of theranos and overinflated claims of what a product can do, the person posted in a thread that reached more than 300 of comments within a day. The post generated enough attention to prompt an indirect reply from Weinberg himself: On LinkedIn, he stated that the companys Gross Revenue Retention (GRR) is at 98% and its Net Dollar Retention (NDR) is at 167signs that Harvey is both retaining and growing revenue from its customers. The Redditor has since deleted their post, though comments agreeing with it remain on the page. (When Fast Company reached out to verify the persons employment at Harvey, a spokesperson said: There was nothing in the post to suggest that the author was a recent employee at the company.) Harveys customers, in the meantime, seem satisfied. [Harvey is] totally embedded in the workday of our lawyers. It’s really become embedded throughout their daily workflows, says Gina Lynch, chief knowledge and innovation officer at Paul, Weiss, Rifkind, Wharton & Garrison, the white-shoe law firm with more than a thousand lawyers. From D&D to r/legaladvice Weinbergs sliding doors moment from junior law associate to AI entrepreneur came via his roommate after law school: Gabe Pereyra, who was a machine learning engineer at Meta and a research scientist at Google DeepMind before that. (Pereyra is now president of Harvey.) In the spring of 2022, while Weinberg was working as a lawyer, Pereyra was focused on finding real-world, assistant-like applications for large language models. It didnt take long before he and Weinberg started testing out Weinbergs legal workflows on language models, most notably OpenAIs GPT-3, which was publicly available. (The pair had initially started running GPT-3 to augment their Dungeons and Dragons games, but quickly realized the potential of its chain of thought prompting abilities.) They began using GPT-3 to solve problems on the r/legaladvice subreddit. We found a hundred landlord-tenant questions and we were able to answer [them], Weinberg says. To further test the models accuracy, they fed it legal materials about California regulations and local statutes, then got it to answer questions. We showed [the answers] to three California-based lawyers working on landlord-tenant issues. We just said, Would you send this to a client? For 86 out of 200 questions, at least two attorneys answered thumbs up, Weinberg says. Their timing was auspicious. It was still months before the launch of ChatGPT would make GPT-3s capabilities clear to everyone. In July 2022 Weinberg and Pereyra cold-emailed OpenAIs general counsel at the ime, Jason Kwon, and shared their ideas for how AI could change legal work (Kwon is now OpenAIs chief strategy officer). In November of that year, the company raised $5 million from the LLMs startup fund, along with venture capitalists Elad Gil and Sarah Guo (all three also participated in the companys most recent round). Within five months, blue chip venture capital firms, including Sequoia, also invested. Signing on Big Law Almost as soon as it launched, Harvey aggressively began pursuing enterprise contracts with big law firms. In December 2022, A&O Shearman, which has nearly 4,000 lawyers across 48 offices, started testing Harveys technology in its Markets Innovation Group. Paul Weiss followed in January 2023 and began testing the technology throughout its practice. Both firms have since signed longer contracts. Using those clients reputations, Harvey has signed big contracts with other prominent U.S. firms, including Vinson & Elkins and Macfarlanes. The company now has 700 customers in 58 countries. Other clients include general counsel offices at private equity firms and hedge funds like KKR and Bridgewater and accounting giant PwC. For bigger clients, Harvey embeds staff members within the company to personalize its services and features for their workflows. It also offers an off-the-shelf general application product for smaller companies. Harveys close association with OpenAI has, in some ways, been a blessing and a curse. The AI giant gave Harvey a first-mover advantage, but has heightened the comparisons between ChatGPT and Harvey. After all, according to a March survey from Law360, ChatGPT is the tool most lawyers use for workeven if its not approved by their firm. But although Harvey could still introduce hallucinations into its work (an issue that has bedeviled lawyers who rely too heavily on ChatGPT), its less likely to do so, says Weinberg, because its trained on legal data and purpose-built for corporate law firms. The company says that its 2024 version of Assistant, Harveys most popular product, reduces hallucinations by 60% and improves the accuracy of cited sources by 23% compared to other chatbots. Harvey has also deepened its product by incorporating models from Anthropic and Google alongside OpenAIs GPT. It also recently signed a key deal with LexisNexis that enables users to ask complex legal questions and get citation-backed answers. Harvey, however, could find itself in a similar situation to Bloombergs ill-fated BloombergGPT as technology evolves. In 2023, the financial information giant Bloomberg spent more than $10 million training an LLM on its own financial data before finding out that an off-the-shelf GPT-4 provided more accurate answers to users. As Ethan Mollick, a professor and codirector of the Generative AI Lab at Wharton, wrote on Linkedin, There was a moment that we thought proprietary data would let organizations train specialized AIs that could compete with frontier models. It turns out that probably isn’t going to happen. The largest frontier models are just much better at most complex tasks than smaller models. Another concern is how long Harvey can maintain its lead, given the cost of its product. Harveys bespoke services cost $1,200 per seat, per month, with contracts stipulating that large companies need to purchase the service for at least 100 employees and for at least a year. The company justifies its prices by touting the productivity gains it passes onto employees. You can arm lawyers with tools that make them enormously productive, says Harveys chief business officer John Haddock, who has a law degree from Stanford. And $100,000 a month is still less expensive than the salaries of an army of paralegals and junior associates. Even so, Harvey will have to convince its customers to sign back up, even as more affordable productsaimed especially at smaller or midsized firmsenter the market. And it has to keep delivering for them amid an AI hype cycle where disappointment in enterprise AI products is growing. After the recent flare-up on Reddit involving the apparent former employee, Maarten Truyens, founder and CEO of ClauseBase, a Belgium startup also working on an AI platform for legal drafting, took to LinkedIn to weigh in. He said the main problem is the hype and expectations around these AI platforms. GenAI is too good to ignore, yet simply not good enough for many legal use cases, he wrote. What’s really needed is vendors to be transparent about the limitations, and the legal community to learn what’s possible with GenAI, and where other technologies are a better fit. Both sides need to become much more realistic. AI associates Though Harveys work needs to be checkedwhich can be a time-consuming process for paralegals and junior lawyersthe company aims to cut down their workload. A widely cited 2023 Thomson Reuters report estimated that AI technology could save lawyers on average 200 hours a year. That number has likely increased as AI becomes more sophisticated. Left unsaid: It could also cut down the number of lawyers and paralegals firms and companies need to hire. Investors and Harvey employees argue that legal tech is unlikely to take jobs away because the demand for legal services is likely to increase. There’s a huge undelivered need for legal services. The right way to think about it is that if you can arm lawyers with tools that make them enormously productive, that will just expand the access to the types of services they can provide, Haddock says. Venture capitalist Sarah Guo, whose firm Conviction invested in Harvey in 2022, makes a similar argument: People will not want less practice of the law. They will want more if it is more affordable, and the quality will go up. Employment for law school graduates hit a record high in 2024, according to the American Bar Association. But the incentive structure for law firms is complicated. Most big firms bill hourly, and when a task that typically took a law associate hours of research can be condensed into three or four minutes, they face the prospect of losing money. One way to save: hiring fewer associates. Weinberg acknowledges that Harvey could change hiring. Are there some firms that will change their business model and structure? Yes. I do think there are some firms that might explore [charging] fixed fees [rather than hourly billing] or having a leaner team, he says. Corporate legal teams could see the most impact from Harvey. Allison Zoellner, general counsel at advertising giant Dentsu, which started working with Harvey last year, says that while the companys AI tools havent led to a workforce reduction, she hasnt had to hire as much. We’re being asked to do more with fewer resources. What Harvey does is allow us to keep our heads above water while not adding people. Weinberg, Haddock, and Guo all say that b eliminating rote tasks, tools like Harvey will free up time for junior lawyers to attend meetings, shadow senior leaders, and start doing more strategic work. So much of what an associate does today is the types of things that [are] not what they went to law school for. If we are able to give associates faster, thicker, deeper, higher-order thinking problems, that is great for everybody. It’s great for partners who can get more from their teams. It’s great for junior lawyers because it makes practice of law more intellectually satisfying sooner, Haddock says. While that may be true, without billable hours to subsidize training opportunities like shadowing, firms may have trouble justifying the cost of so many associates. The legal industry has weathered technological shifts before. When I started as a lawyer in the ’90s, it was the time of transition from manual review of documents in litigation to computer-assisted review of documents. [That created] a bump in productivity, NYU Law School professor Christopher Sprigman says. How many more people would’ve been hired at those firms absent the introduction of that technology? There’s always an unknowable counterfactual, but I get the strong idea that its fewer than [if the technology hadnt been adopted]. These days, Sprigman says lawyers are having similar conversations. A friend of mine who runs a law firm said to me that at this point, maybe 10 to 20% of what junior associates do can be automated through AI. But in 18 months it could be 30%, he says. The winners will be people who know how to use AI in their practice and also people who have deep expertise that allows them to exercise judgment. It is too early to say how the technology will impact roles at the Paul, Weiss. Lynch expects that while it will not reduce positions at the company, it will bring change to certain roles. She has already seen wider acceptance by senior leadership than anticipated. Partners very much gravitated towards AI because they were comfortable that they knew whether the output was good or bad. More junior employees with less experience may not be able to make those distinctions early on in their careers. Already, Paul Weiss is using its AI savvy as a sales pitch to prospective clients. We want [clients] to know were using it and we are really earnest about the efficiency gains, Lynch says. Lynch and Sprigman see a new role emerging within law schools and firms that specializes in AI adoption. Youre going to see more of a legal technologist role, Lynch says, adding that, like many firms, Paul Weiss has invested heavily in training to get lawyers to use AI tools, and in building their own closed LLM to work alongside Harvey. Sprigman says that senior lawyers may start to look for AI savvy in their juniors, and that means law schools may also have to change. Law schools obviously want their students to be prepared. [That could be] teaching people how to prompt engineer. Maybe that’s something you hire an adjunct for. I’m sure school schools will be looking for expertise from the outside, he says. To gain an edge and get students used to its platform, Harvey has started partnering with law schools including the University of Chicago and the University of Pennsylvania to offer students, professors, and administrators access to its tools. A sizable moat The moat of capital Harvey has raised, its aggressive and successful pursuit of leading law firms, and its relationship with OpenAI have made it a dominant player in the legal AI race. But the companys valuation may limit its exit possibilities. We’re voting that the company has the opportunity to be a tens of billions of dollars public company, Guo says. The companys success may ultimately hinge on how many big law firms decide to renew their contracts with Harvey once the mandatory year or two minimum expires, and whether the company can stay ahead of competitors from rivals like Legora to off-the-shelf LLMs. Weinberg and Pereyra settled on the name Harvey because it sounds a little bit like Harvard and because of its associations with Suits superlawyer Harvey Specter. Ultimately though, Harvey acts more like the shows other main character, Mike Ross, a college dropout with a photographic memory. Though he is unlicensed, Ross proves to be more useful to Specter than any other paralegal or associate at the fictional big law firm.
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Want more housing market stories from Lance Lamberts ResiClub in your inbox? Subscribe to the ResiClub newsletter. The average 30-year fixed mortgage rate sits at 6.19%, down from 6.54% a year ago. While that decline represents some welcome relief for homebuyers, economists at Fannie Mae and the Mortgage Bankers Association (MBA) believe most of the short-term mortgage rate relief is already behind us. Both Fannie Mae and the MBA released 2026 forecasts this month showing not much change from here. Fannie Mae expects the average 30-year fixed mortgage rate will fall to 5.9% by the fourth quarter of 2026a decline of just 0.3 percentage points from todays levels. The MBAs forecast is even more conservative, calling for an average 6.4% rate by late 2026, which would actually mark a slight uptick. Their shared view underscores a growing consensus among economists: The easy phase of mortgage rate relief has passed, unless something material changes in the economy. Both organizations do anticipate a mild shift in the broader economy/labor market. The U.S. unemployment rate, currently 4.3%, is expected to soften a tad, with Fannie Mae projecting 4.4% by the end of 2026 and the MBA expecting 4.6%. While that would mark further labor market softening, itd hardly be a full-blown break in the labor market. Lets say theyre wrong and mortgage rates fall more than expected. What happens? Theres a potential wildcardan economic slowdown. If joblessness were to climb faster than anticipated or if the economy were to meaningfully deteriorate, that could put additional downward pressure on both Treasury yields and mortgage rates. In that scenario, mortgage rates could dip more than the baseline forecasts suggest. The mortgage spread represents the difference between the 10-year Treasury yield and the average 30-year fixed mortgage rate. Last week, the spread stood at 218 basis points. If the spreadwhich widened when mortgage rates spiked in 2022continues to compress/normalize toward its long-term average since 1972 (176 basis points), it could help push mortgage rates lower, even if Treasury yields hold steady. One last thing: Mortgage rate forecasts should always be taken with a grain of salt, at least to some degree. Predicting long-term yields depends on accurately anticipating inflation, Federal Reserve policy, and the broader trajectory of the U.S. and global economiesall of which are notoriously hard to get right. Over just the past five years, forecasters have been caught off guard by a pandemic, a historic inflation spike, and one of the fastest rate-hiking cycles in modern history. The lesson? Even the best models cant account for every shock. Mortgage rate forecasts are useful guideposts but not guarantees.
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During his two terms from 1953 to 1961, President Dwight D. Eisenhower reportedly spent hours tucked away inside the teal-and-gold movie theater in the White Houses East Wing, watching more than 200 Western films. Years later, Bill Clinton used the theaterthen decked out in a very 90s combination of red and tanto view Schindlers List and Naked Gun. Even President Trump himself used the theater, now with an art-deco-inspired red-and-gold look, for a screening of Finding Dory back in 2017. Now, the historic landmark is just another part of the rubble that was once the East Wing. Since its construction more than 80 years ago, the White House theater has served as a kind of miniature window into the real lives of U.S. presidents, offering the American people a rare glimpse into moments of rest and personal time. According to Matt Lambros, a photographer whos spent years researching historic theaters and written three books on the topic, even the interior design of the theater itselfwhich was renovated multiple times over the yearsgives fresh insights both into each presidents taste and the historical context of theater aesthetics more generally. Now that the theater has been demolished by the Trump administration along with the rest of the East Wing, Lambros says a piece of theater history has been permanently lost. Here, we take a walk back through the theater’s various design eras. The theater prior to the Truman renovation, circa 1948 [Photo: Abbie Rowe/National Park Service/Harry S. Truman Library & Museum] FDR converts the Hat Box The White House theater, located in the buildings East Terrace, was created in 1942 when Franklin Roosevelt converted what was then a cloakroom, known colloquially as the Hat Box, into a viewing area. Given its history as essentially a glorified closet, the theater could seat just 40 guests. The earliest photos of the theater are exclusively black-and-white, so its difficult to get a full picture of what the room looked like in person. Two details are clear, though: Unlike the movie theater seating of today, Roosevelts guests were sitting in small, wooden seats; and, along the walls, large curtains hung from the ceiling to the floor. The curtains were likely added to block light from the domed windows that lined the original room, Lambros says. But, he notes, curtained walls were actually a trend in theaters around the time. As the stylized, ornate plasterwork and paneling inside historic theaters went out of style, the curtains became an easy way to modernize interiors. That is actually what happened in a lot of movie theaters across the country, Lambros says. You had these big ornate theaters, and instead of like, Oh, let’s paint them a different color, during the fifties and sixties, they were like, Let’s just put curtains up over it. The theater during the Truman renovation, 1950 [Photo: Abbie Rowe/National Park Service/Harry S. Truman Library & Museum] Trumans rococo revival refresh Harry Trumans presidency appears to be the first time the theater was renovated. The old carpeting was removed, revealing tiled flooring; gold sconces with candlestick lighting were added to the walls; and a row of plush, wide chairs lined the front of the theater. The whole space used an almost rococo-esque palette of gold and blue, including gold curtains, which remained lining the walls. This look would stay in place for several decades. According to logs kept by White House projectionist Paul Fisher, who held the post for seven different presidents, it was in this version of the room where Eisenhower watched Gary Coopers High Noon on repeat, and where John F. Kennedy viewed the film From Russia With Love the day before he was assassinated in 1963. This iteration of the theater also played host to hundreds of screenings held by Jimmy Carter, who watched more than 400 movies during his terma presidential record. [Photo: Jack E. Boucher/United States Library of Congress] Clintons 90-era living room In the early 90s, the theater got a renovation that traded its former color scheme for a combination of orange carpet, tan seating, and red accented curtains. The total effect was something akin to a grandmas living room. President Bill Clinton in 1994 [Photo: Dirck Halstead/Getty Images] It was really ugly, Lambros says. But that kind of humanizes it. Thats one thing I really like about the history of this theater, is that you really get insight into each president. Bushs historic theater homage The theaters final renovation came courtesy of First Lady Laura Bush in the early 2000s, who used the opportunity to pay homage to historic theater aesthetics. Her version of the screening room was completely decked out in red and gold, from the carpet to the chairs and walls. The curtains were finally removed and replaced with a repeated, golden art deco motifsimilar to the kind of decorations that wouldve been covered up in local theaters throughout the mid-20th century. From top: President George W. Bush in the theater in 2002 and 2006 [Photos: Eric Draper/White House/Getty Images] According to Lambros, the modern association of a red and gold palette with movie theaters actually traces all the way back to an interior designer named Anne Dornan, whose work in the 1920s helped establish theater design. She had very specific ideas of what certain color palettes should be used in certain theaters depending on their locations, Lambros says. She thought that major metropolitan downtown area theaters were reds and golds, and she came up with something called the Theater Decorator’s Color Chart. Laura Bushs design nods to that history, he says, while adding art-deco-style touches that werent there before, more in line with theaters like the Paramount in Oakland than the original design ever was. President Ronald Reagan and first lady Nancy Reagan in 1986 [Photo: Reagan Library] A piece of history no more For Lambros, the White House theater was one of the reasons that he developed an early interest in historic theaters in general. As a kid, he remembers, he was fascinated by the idea that the president might be watching the same film as him from inside the White House. First lady Michelle Obama and President Barack Obama in 2009 [Photo: Pete Souza/White House Flickr] It was a connection point between the president and the American people, Lambros says. There are photos of the presidents and their children and grandchildren sitting in the theater watching TV or watching movies, and we all can relate to that. It’s a piece of history that humanized the president, and it was erased.
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This article is republished with permission from Wonder Tools, a newsletter that helps you discover the most useful sites and apps. Subscribe here.Claude feels like a genie to me. With its Artifacts feature I can turn any idea I have into an interactive application, visualization, or graphic. Yesterday I created a Flashcard maker and a breathing app. No coding. Just a short AI chat conversation. No complexity. I dream up an idea, and Claude makes it instantly real. I iterate with chat to make it better. Read on for a guide to making the most of Artifacts with examples and ideas you can build yourself. How to turn ideas into apps (no coding) Create a free Claude.ai account or log in if you already have one. Navigate to the Artifacts tab. Pick one of the existing templates in the Inspiration gallery to customize. If you dont want to use a template, click New Artifact in the top right corner of the Artifacts landing page. Pick a category of interest (e.g. Games, Quizzes, etc). Chat with Claude to iteratively design an artifact. Customize your Artifact by pasting or uploading specific content you want it to use, or by defining a particular color palette or design style. Explain how you want it to work or ask Claude to guide you with questions. Test out the Artifact. Click Publish when youre ready to get a shareable link and optional embed code. Return to the Artifact later to update or change it. Repeat to make as many Artifacts as you want. Free users may run into rate limits. Try these: Apps you can make right now Master any subject (Study tools you can make) Create a resource to help you learn whatever you want. Use specific facts, diagrams, documents, or other materials to seed the assistant, or ask Claude to suggest relevant info. The flashcard maker I created lets me paste in some text, upload a PDF, or just describe a topic of interest. It instantly generates 10 questions for me. [See my prior post on using AI for Learning]. My Example: Instant Flashcard Maker Visualize Your Data In addition to summarizing documents or transforming files, you can use AI to make sense of data. Ask Claude to analyze or visualize info in specific formats or with your preferred design sensibility. You can upload reference images or your style guide, or just specify style or tone. My Example: Visualize CSV Data Design custom quizzes Its now easy to make your own version of Which Harry Potter House Are You? quizzes. Pick a subject and supply some questions. Or ask Claude to propose questions and you can act as the editor. These can be just silly or they can help students or colleagues figure out where they stand on an issue. My example: Whats Your AI Personality? Make Content Interactive Include a link to an Artifact in your next piece of writing or presentation to add an interactive element. Invite readers or viewers to try it for themselves. Ideas: a visual story summary, a quiz, infographic, dashboard, or a customized cost calculator How to get started: Upload or paste content youve createdor a transcript, if its audio or videoand chat with Claude about interactive supplements that might be useful for your reader. Examples – WT Conference Toolkit Guide– Note-Taking Devices Interactive Summary Table Test Your Knowledge Testing yourself helps identify knowledge gaps. You can upload specific material youre aiming to master or just ask Claude to design a quiz Artifact for you on any subject. Give it context about your level and the kinds of questions youll find most useful, as well as your preferred quiz length. My example: Liquidation preference quiz Build a Decision Helper Figure out which of multiple options works for you. This kind of interactive poses a series of preference questions to determine a result based on your answers. It guides decisions based onwhatever criteria and grounding info you provide. To customize my own matching tools, I use my own writing, analysis and research to serve as the basis for the Claude Artifact. I based the following examples on my own research on AI learning modes and note-taking tools. Examples – Find your preferred AI learning mode– Find Your Perfect Note-Taking Tool Create Calm (Meditation & timer apps) Claude Artifacts can employ timers and graphics. To make a simple breathing app, I gave Claude instructions about the 4-7-8 breathing pattern. 4 seconds of breathing in; 7 seconds holding; 8 seconds of exhalation. I included a link to the source article from which I drew the information, and instructed Claude to run four cycles of the breathing timer for an activity that would last about a minute. Example: My 60-second breathing relaxation app Make a game Its simple to make puzzles, simple arcade-style games, or word games. Describe the game you have in mind or ask Claude to give you some ideas to work with. Create your own version of something you loved to play as a kid, or a brain teaser to give yourself a playful mental break at work. Example: Word Morph Other ideas for what to make: A specialized assistant for single-purpose tasks lik generating a QR code, cleaning up messy notes, translating phrases, or assessing headline ideas A banner image like the one above I made for this post A prototype site like this mood canvas to share an idea with a colleague A document or template like this PRD maker (for product requirements) to reformat your own content Visualizations for creativity or quick prototyping Campaign dashboards for sharing performance metrics Sales pipeline forecasts or other interactive charts Limitations to consider Sometimes Claude leaves out a detail or a button doesnt work. Other times, what youve envisioned doesnt look quite right. Solution: You often have to prompt the model to make corrections, which it does well. Artifacts dont have built-in databases to store information. So if you create a habit tracker or content calendar, what you type in during one session wont be stored for later. You can ask it to add an export capability, but if you need the tool to store data you can return to, youre better off with a more sophisticated AI coding tool (for so-called vibe coding) like Windsurf, Bolt, or Lovable. While powerful, these Artifacts arent agents that can go out to the Web and interact with multiple data sources to update an app. Similar tools worth trying Gemini Canvas | Googles Gemini also excels at creating great interactives and tools. I made this little alt-text generator for Wonder Tools with a short prompt that took less than a minute. I asked it to handle multiple images and offer two alt-text options for each. Canvas is free for all users; a pro subscription gets you access to a more powerful model. Perplexity Labs lets you generate detailed reports with infographics, create visual dashboards with business or economic data, or make other interactive graphics. Heres an example of a family museum itinerary planner, and a coffee shops financial dashboard. Additional examples: Check out Perplexitys Project Gallery for inspiring ideas. Caveat: Unlike Claude Artifacts and Geminis Canvas, which can be used for free, Perplexity Labs requires a $20/month subscription.
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My first time plopping down on my therapists couch, I tried to breeze through the basics. Yes, upbringing, romance, family, social lifeall important. But I entered that softly lit space to vent about the place that eats up a third of my waking life. I was there to talk about the office. The physical location wasnt the issue; the office snacks were elite. The problem was the people: the supervisor with no respect for work-life balance, the snooty coworker firing off slick emails, the boys club that would always look out for its own. Being the only Black employee there wore me out in ways I couldnt always name. And talking it out with a licensed professional who looked like meincense smoke in the airhelped me locate my peace from 9 to 5. Im thankful those healing sessions a few years ago kept me from crashing out on Brayden in sales. But I never anticipated theyd also make me a better manager once I had a team of my own to lead. My most recent job had its share of team drama when I arrived. Morale was in the gutter, but workplace woes seemed to weigh heaviest on Gina, one of my direct reports. She was checked out like bell hooks books at the library. The go-getter energy she had when she started had devolved into bare-minimum effortand a creative interpretation of the companys unlimited vacation policy. The 1.0 version of me mightve addressed the situation by mirroring the coldness I experienced early in my career, parroting those icy conversations, questioning whether I had what it takes to be successful in a place like this. Corporate America can be cutthroat, especially when deliverables are regularly behind schedule and quotas are missed. But I felt an obligation to help my team shine, which meant pulling from the lessons I internalized back on my therapists cozy black upholstery. I sat with Gina in a 1:1 meeting to remind her that the companys PTO policy is at managements discretion. But then I got curious about her apathy. Turns out, she said shed been slept on more than Tempur-Pedic during promotion considerations. Even worse, before my arrival, she had been pushed into a role that was vastly different from the one she initially signed up for. I let her know I understood her frustration, like, for real. After all, Id previously been in her New Balances as I tried to climb the corporate ladder. I cut her a deal: If she stepped up on the nonnegotiables, Id give her a chance to prove herself as the point person on more challenging projects. The results didnt show themselves overnight. Shed been burned before, so it took some time and patience for her to fully buy in. But she took our handshake agreement and ran with it. Within a few weeks, she was hitting deadlines, contributing valuable ideas during brainstorming meetings, and even turning on her camera during Zoom calls. I gave her verbal flowers in her next performance review and got props from my boss, who was impressed at how I became an even better motivator than Jeezy. The thing people dont discuss enough is the way therapy teaches you the art of real talkthat is, effective, empathetic communication. You learn to listen actively, validate peoples feelings, and respond constructively. At first, it took conscious effort, but eventually it became second nature. That doesnt mean I turned into some kumbaya caricature of a manager. Accountability still mattered. I developed a knack for delivering (and receiving) tough feedback. I understood how to make people feel seen. The value of talking through interpersonal challengeseven the unsolvable ones. And because my team rocked with me, they wanted to kill it to make us all look good, I think. (Although in my self-conscious moments, I can only imagine what theyre telling their therapists about me. None of my business. Boundaries!) I can trace so many of my management wins back to my therapists office, a safe space where I was challenged to pause before reacting, to see the bigger picture, to regulate before responding. So, no, I dont recommend therapy just to survive toxic workplaces. I recommend it because it helps you build healthier ones. The Only Black Guy in the Office is copublished with Levelman.com.
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