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Intro Platform Connects Users To Celebrity Experts
Intro is a new platform that allows users to book one-on-one video call consults with top-tier industry experts.
Founded by Los Angeles-based entrepreneur Raad Mobren, Intro is the latest platform that allows people to connect with celebrity experts across various fields. Mobren takes his inspiration for the platform from a chance meeting with Paul Orfalea, founder of the copy-chain Kinko’s. When Mobren was 18, he tapped Orfalea on the shoulder and asked if he could quiz the entrepreneur on his business success. Orfalea invited him to a 15-minute sit-down chat, which forever shaped Mobren’s future.
The idea of Intro might sound a little like Masterclass, where fans can receive masterclass tuition from their favorite artists or sports stars, or even Cameo, the platform that lets you order personalized video messages from famous personalities and Hollywood stars. Intro, however, has a different aim: to provide honest, actionable consultations from leading experts such as CEOs, sportspeople, businesspeople, and even interior designers.
“Intro breaks down walls and allows people from all across the world to easily have access to people who once seemed inaccessible. Our dream is that someone’s life will change because they got access to the person they admire, learned valuable information, and were inspired to make the world a better place,” says Raad Mobren, Cofounder & CEO
The platform has some heavyweight celeb backing in the form of Alexis Ohanian (a cofounder of Reddit), Andreessen Horowitz, CAA founder Michael Ovitz, and a growing network of highly accomplished stars. Joining the platform could see experts earning up to $500,000 annually, with a not inconsiderable 30% commission going to Intro.
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So how does the service work? Users either book a series of consulting calls, or simple one-off sessions of 15 minutes to an hour, with prices from $100 to $500. The service encompasses all genres, from entrepreneurial advice and help with business pitches to house remodeling and event planning.
Intro’s experts don’t communicate further outside of the platform, and there’s no chat function or image sharing, so users need to take screenshots or make detailed notes. Still, Intro certainly sounds promising, especially if the makers can entice a decent-sized pool of talent to join the platform.
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NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.
Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
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