Yeah. Well, look, the first thing to go along with that topline momentum that I referenced, 8% topline growth and growth across each of those segments was very good expense discipline throughout the quarter. So, you saw our expenses were up about 2%, they're down 1% at the half.That expense discipline does come with investment as well. We've been investing in technology, we've been investing in our transformation work, and we've been investing in AI tools. to your question.We've taken kind of a multi-pronge ...

AI App Building - Key Takeaways - The barrier to building AI apps has lowered dramatically due to AI tools and groundbreaking models [7][9] - Simplicity in app architecture is crucial for rapid development and validation, often involving a single API call [21][22] - UI design is paramount, consuming approximately 80% of development time, significantly impacting user adoption [35] - Incorporating the latest AI models can increase the potential for virality [38][39] - Launching early and iterating based on user feedback is essential for de-risking projects [40] Tech Stack & Resources - Together AI provides an inference API for querying open source models and offers dedicated instances for fine-tuning [5][6][22] - The presenter uses Nextjs and Typescript as the full-stack framework, Neon as the serverless Postgres host, and Clerk for authentication [22][23] - Open source projects can often secure sponsorships or free credits from AI companies and database providers [50][51] App Development Process - Ideation involves maintaining a running list of ideas and prioritizing the top five [26][27] - Naming should focus on short, memorable names with available domain names [28] - Design involves sketching or prototyping the app's workflow and user interface [29] - The initial build should focus on the simplest possible working version with minimal API endpoints [30]

AI Platform Requirements - AI tools perform optimally with contextual understanding [1] - AI platforms need user-specific information: identity, interests, tone, goals, and preferences [1]

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AI Procurement Challenges - Organizations are facing challenges in vetting new AI tools due to the rapid pace of innovation [1] - Traditional procurement pipelines are often surpassed by newer AI tools [1] Brex's Approach - Brex has adopted an unorthodox procurement process by embracing the "messiness" of the AI era [1] - Brex is increasing team members' autonomy in choosing and experimenting with AI tools [1] Key Takeaway - Companies can learn from Brex's approach to AI tool procurement [1]

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Core Viewpoint - JPMorgan analyst Ryan Brinkman maintains an Underweight rating on Hertz Global Holdings, indicating concerns about the sustainability of the company's earnings despite recent partnerships and pricing strategies [1][3]. Financial Performance - Hertz reported first-quarter revenue of $1.81 billion, which fell short of the $2 billion analyst consensus, marking a 13% year-over-year decline [4]. - The company also experienced a first-quarter adjusted loss of $1.12 per share, compared to an expected loss of 97 cents per share [4]. Earnings Outlook - Brinkman suggests that while Hertz may appear undervalued based on normalized earnings, the company is not expected to reach those levels until after 2026 [3]. - The company is projected to generate negative free cash flow in 2024 and 2025, which will limit its ability to repurchase shares at current lower prices [3]. Operational Initiatives - Hertz is making progress on cost efficiency initiatives, including partnerships with technology firms aimed at enhancing customer experience and operational productivity [5]. - The company is implementing improvements to its revenue management system and deploying AI tools for vehicle inspection and pricing optimization [5]. - Management has reaffirmed expectations for the progression of EBITDA throughout the year [5]. Market Reaction - Hertz shares are trading lower by 2.88% to $5.60 at the time of publication [6].