10+ Things You Should Build With AI Instead of Sending Files
The AI Daily Brief explores how AI-powered website building is transforming knowledge work by replacing traditional file-based artifacts like decks, PDFs, and spreadsheets with dynamic, interactive websites. The host argues that OpenAI's new Codex 'Sites' feature exemplifies a broader trend of websites becoming the superior unit of work output for knowledge workers. Eighteen concrete use cases are presented, from strategy memos to investor portals, illustrating how websites solve fundamental problems of versioning, distribution, and audience fit.
Summary
The episode is prompted by OpenAI's launch of 'Sites' within Codex, a feature that simplifies publishing AI-built projects as shareable web apps. The host uses this as a jumping-off point to argue that the website is emerging as a new canonical artifact in the knowledge worker's toolkit, replacing the legacy formats — decks, PDFs, spreadsheets, and email threads — that have long dominated professional communication.
The host identifies roughly a dozen core problems with traditional downloadable file formats that websites solve. These include the versioning and currency problem (files go stale the moment they are sent), distribution friction (attachments require compatible software and create clutter), navigation constraints (docs are linear, spreadsheets are tabular, PDFs are paged), context fragmentation (information spread across multiple documents), the passive nature of documents (recipients cannot interact), audience fit (documents flatten diverse readers into one average reader), lack of native actionability, poor reusability, absence of engagement observability, presentation limitations, access control challenges, and brittleness in an agent-driven future where Cloudflare has already reported that bot/agent browsing surpasses human browsing.
The host then walks through 18 specific knowledge work artifacts that are strong candidates for conversion into websites. These range from the obvious — slide decks becoming narrative websites, strategy memos becoming strategy sites, research reports becoming research hubs — to the more nuanced, such as spreadsheets becoming data sites with guided dashboards, sales proposals becoming interactive microsites with toggleable pricing, and client updates becoming living client portals. Other examples include project briefs becoming project homepages, case studies becoming interactive case pages, competitive analyses becoming continuously updated intelligence hubs (potentially fed by agents), static training materials becoming dynamic learning sites, employee handbooks becoming living interactive resources, board materials becoming structured portals, investor updates becoming real-time investor pages, job descriptions becoming candidate experience sites, brand guidelines becoming brand system sites, and media kits becoming press sites.
The host notes several recurring patterns across these use cases: artifacts that get forwarded around committees without the creator present, artifacts that keep evolving after they are nominally 'finished,' and artifacts whose content is scattered across multiple channels. The episode closes with the observation that much of the current explosion in vibe coding is simply knowledge workers discovering that websites are better information-sharing vehicles than the legacy formats they inherited, and that platform-level features like Codex Sites will only accelerate this shift.
About this episode
<p>AI is making it possible to build richer versions of the files knowledge workers send every day: decks, memos, spreadsheets, reports, proposals, training materials, and more. This has gotten even easier this week with the release of OpenAI's "Sites" feature in Codex. In this practical Operator's episode, NLW walks through 10+ examples of work outputs that are often better as living, shareable, updateable, interactive links than static documents.</p><p><strong>Sign up for AI Executive Catchup: </strong><a href="https://aiexecutivecatchup.com/">https://aiexecutivecatchup.com/</a></p><p><strong>Brought to you by:</strong></p><p><strong>KPMG</strong> – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at <a href="kpmg.com/us/Sophisticated">kpmg.com/us/Sophisticated</a></p><p><strong>Bolt - </strong>Claim a free month of Bolt Pro - <a href="https://bolt.new/partner/aidb/">https://bolt.new/partner/aidb/</a></p><p><strong>Outsystems</strong> - Stop wondering how AI will change your business and start building the agents that will lead it - http://outsystems.com/</p><p><strong>Scrunch -</strong> The AI customer experience platform - <a href="https://scrunch.com/">https://scrunch.com/</a></p><p><strong>Zenflow Work</strong> - Agents for knowledge work - <a href="https://zenflow.free/">https://zenflow.free/</a></p><p><strong>Blitzy - </strong>Want to accelerate enterprise software development velocity by 5x? <a href="https://blitzy.com/">https://blitzy.com/</a><strong></strong></p><p><strong>AssemblyAI</strong> - The best way to build Voice AI apps - <a href="https://www.assemblyai.com/brief">https://www.assemblyai.com/brief</a></p><p><strong>Robots & Pencils</strong> - Cloud-native AI solutions that power results <a href="https://robotsandpencils.com/">https://robotsandpencils.com/</a></p><p>The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: <a href="https://pod.link/1680633614">https://pod.link/1680633614</a></p><p><strong>Our Newsletter is BACK: </strong><a href="https://aidailybrief.beehiiv.com/">https://aidailybrief.beehiiv.com/</a></p><p><strong>Interested in sponsoring the show? </strong>[email protected]</p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p><p><br /></p>
Key Insights
- The host argues that the traditional menu of knowledge work formats — decks, PDFs, spreadsheets — was never chosen because those formats were optimal for conveying knowledge, but simply because building something more dynamic was prohibitively expensive and technically inaccessible to most workers.
- The host claims that Cloudflare reported agent and bot browsing surpassed human browsing for the first time, making the case that websites are structurally better positioned than PDFs and CSVs for an agentic future where AI systems consume organizational knowledge.
- The host contends that the explosion in vibe coding is not primarily about software development but about knowledge workers discovering that websites are superior vehicles for sharing information compared to legacy document formats.
- The host argues that the competitive analysis use case represents a fundamentally different artifact — not just a better-presented version of the same thing, but a living 'competitive intelligence hub' that can eventually be updated continuously by AI agents, changing the nature of the work itself.
- The host observes that SaaS tools like DocSend and Google Docs have emerged specifically to patch the limitations of file-based formats, but that these tools only approximate what websites do natively, without offering interactivity, flexible navigation, or engagement observability.
Topics
Transcript
Today on the AI Daily Brief, 10 or 15 or even 20 sites that knowledge workers should build with AI. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. Alrighty friends, quick announcements before we dive in. First of all, thank you to today's sponsors, Robots and Pencils, Assembly, Zencoder, and OutSystems. To get an ad-free version of the show, go to patreon.com slash ai-dailybrief. Or you can, of course, subscribe on Apple Podcasts. To learn more about sponsoring the show, send us a note at sponsors at ai-dailybrief.ai. ai-dailybrief.ai is also where you can find out about other things going on in the ecosystem. For example, one more call…
Full transcript available for MurmurCast members
Sign Up to AccessMore from The AI Daily Brief: Artificial Intelligence News and Analysis
The Fight Over Which AI Models You Can Use
The episode explores the escalating policy debate around open-source AI models, particularly Chinese models, amid the Trump administration's consideration of regulatory restrictions. Dean Ball's controversial tweets arguing for soft regulatory pressure on Chinese open-weight models sparked significant backlash from industry leaders and the Trump administration itself, highlighting a fundamental tension between those advocating for open competition and those concerned about national security and market impacts.
How to Get the Most Out of Fable 5 and GPT-5.6 Sol
The episode explores best practices for maximizing the capabilities of frontier AI models Fable 5 and GPT-5.6, emphasizing that new models require new interaction patterns beyond traditional prompting, including setting boundaries, iterative collaboration, and tackling higher-impact work rather than just automating routine tasks.
The Self-Driving Company
Replit CEO Amjad Massad published a blog post describing how AI agents integrated throughout their company have enabled a "self-driving company" model, where agents handle routine work across engineering and business functions while humans set goals and make strategic decisions. The post demonstrates how this approach tripled code output while maintaining quality metrics and spreading to non-engineering teams like sales, marketing, and support.
Is Kimi K3 Really Fable Class?
Kimi K3, a 2.8 trillion parameter open-weight Chinese model, demonstrates frontier-class capabilities that narrow the gap with Western models like Fable 5 and GPT-5.6, though initial hype is tempered by practical testing revealing mixed results, speed issues, and minimal safety guardrails.
The New Enterprise Battle Over Who Owns the Model
The AI Daily Brief covers the competitive landscape of AI model development, featuring Thinking Machines Lab's release of Inkling, an open-weight model designed for enterprise fine-tuning via their Tinker platform. The episode discusses how multiple companies—including Microsoft, Cursor/SpaceX, and NVIDIA—are pursuing different strategies to compete in model development, with a particular focus on data sovereignty and cost efficiency as key differentiators.