AWAIR is the Agentic Weekly Artificial Intelligence Report — a privacy-first, browser-based intelligence dashboard that helps AI practitioners, researchers, and enthusiasts track the people, companies, and trends shaping the future of artificial intelligence.
Configure a personal watchlist of key AI leaders, monitor curated sources ranging from company research blogs to academic preprint servers, and generate structured weekly briefings delivered on-screen or via email. All configuration and report history is stored exclusively in your browser’s local storage — no accounts, no servers, no tracking.
- 📋 Configurable Watchlist — Track key AI leaders by name, X (Twitter) handle, website, and YouTube channel. Assign priority tiers: Core, Watch, or Track.
- 🌐 Source Library — Monitor company blogs, research feeds, newsletters, and news outlets. Toggle sources on/off at any time.
- 🏷 Keyword Signals — Define custom topic keywords (e.g. “GPT-5”, “AI agents”, “multimodal”) that are scanned and flagged in every report.
- 📡 On-Demand Reports — Run a full intelligence scan at any time with a single click. Reports render directly in the browser.
- 📅 Weekly Scheduling — Configure which days of the week to auto-generate reports and at what time of day.
- ✉ Email Delivery — Send your report to any email address via your local mail client, no SMTP configuration required.
- 🖨 Print-Ready — Reports are formatted for clean printing or PDF export directly from the browser.
- ⬇ Export / Import — Back up or transfer your full configuration as a portable JSON file.
- 🔒 100% Local Storage — Zero data leaves your device. No accounts. No tracking. No third-party calls.
AWAIR is a single-file HTML application. No build tools, no dependencies, no server required.
Open the link above to run AWAIR instantly — no installation needed.
git clone https://github.com/DavidFliesen/awair.git
cd awair
open awair-v001.html # macOS
# or double-click awair-v001.html in Windows Explorer / Linux file managerThat’s it. The app runs entirely in your browser.
- Fork this repository
- Go to Settings → Pages
- Set source to
mainbranch, root directory - Your AWAIR instance will be live at
https://yourusername.github.io/AWAIR/
AWAIR ships with a curated starting watchlist of the most influential voices in AI:
| Person | Role | X Handle |
|---|---|---|
| Dario Amodei | CEO — Anthropic | @darioadmodei |
| Sam Altman | CEO — OpenAI | @sama |
| Kevin Weil | Chief Product Officer — OpenAI | @kevinweil |
| Demis Hassabis | CEO — Google DeepMind | @demishassabis |
| Person | Role | X Handle |
|---|---|---|
| Mark Zuckerberg | CEO — Meta | @zuck |
| Jensen Huang | CEO — NVIDIA | @jensenhuang |
| Satya Nadella | CEO — Microsoft | @satyanadella |
| Person | Role | X Handle |
|---|---|---|
| Yann LeCun | Chief AI Scientist — Meta | @ylecun |
| Andrej Karpathy | Independent AI Researcher | @karpathy |
| Fei-Fei Li | Co-Founder — World Labs / Stanford | @drfeifei |
| Mustafa Suleyman | CEO — Microsoft AI | @mustafasuleyman |
| Elon Musk / xAI | CEO — xAI / Grok | @elonmusk |
All people can be edited, removed, or supplemented from the Watchlist tab.
AWAIR pre-loads 12 curated AI intelligence sources across five categories:
| Source | Category |
|---|---|
| The Rundown AI | Newsletter |
| MIT Technology Review | News |
| Anthropic Blog | Company |
| OpenAI Blog | Company |
| Google DeepMind Blog | Company |
| Hugging Face Blog | Company |
| ArXiv AI Papers | Research |
| AI Snake Oil (Substack) | Newsletter |
| VentureBeat AI | News |
| The Decoder | News |
| Latent Space Podcast | Newsletter |
| a16z AI | News |
Sources are fully configurable — toggle, remove, or add your own from the Sources tab.
GPT-5 · Claude · Gemini · AI agents · multimodal · reasoning models
open source AI · AI safety · AI regulation · robotics · diffusion models · LLM
Add any keyword from the Watchlist tab and it will be scanned in every report.
awair-v001.html ← Complete single-file application (open to run)
README.md ← This file
LICENSE ← MIT License
assets/
awair-logo.svg ← Standalone logo asset (also used in this README)
AWAIR was designed from the ground up with user privacy as a core principle:
- All data lives in
localStorage— watchlist, sources, keywords, settings, and report history are stored only in your browser on your device. - No external API calls — the app makes zero network requests to any third-party service.
- No analytics, no telemetry — there is no usage tracking of any kind.
- No account required — there is no login, no registration, no email verification.
- Portable config — export your full configuration as a JSON file at any time from the Settings tab. Import it on any other device to restore your setup instantly.
- Full reset — the Settings tab includes a one-click option to wipe all local data and restore factory defaults.
⚠ Note on scheduled email delivery: AWAIR generates a
mailto:link that opens your local mail client. It does not connect to any SMTP server directly. For fully automated email delivery, a lightweight local server or browser extension relay would be needed — see the Roadmap section below.
Planned features for future versions:
- v002 — RSS feed parsing for real-time source content (via CORS proxy or local server)
- v003 — Live X/Twitter feed integration via API key (user-supplied, stored locally)
- v004 — AI-powered report summarization using a user-configured LLM API key
- v005 — SMTP email delivery with local credentials stored in
localStorage - v006 — Report history archive with diff highlighting (“new since last week”)
- v007 — Electron or PWA wrapper for true background scheduling
- v008 — Dark/light theme toggle and custom accent colors
- v009 — Multi-profile support (e.g. separate profiles for different focus areas)
- v010 — Mobile-optimized layout
- Vanilla HTML / CSS / JavaScript — zero framework dependencies
- Google Fonts — Rajdhani, Exo 2, JetBrains Mono
- Browser localStorage API — all persistence
- CSS Custom Properties — full theming system
- No npm. No build step. No bundler. Just open the file.
MIT License — free to use, modify, and distribute. See LICENSE for details.
David Fliesen is a Hybrid Generative AI Multimedia Developer based in Summerville, SC, with a background spanning 20+ years across multimedia production, U.S. Navy Combat Camera photojournalism, and pioneering DoD virtual agent work dating back to 2008. He recently completed the Purdue Online / Simplilearn Applied Generative AI Specialization and actively builds at the intersection of AI, creative media, and practical tooling.
David is the creator of the daily AI-generated comic strip Sisters of Summerville and develops a range of AI-powered prototypes including ComicsGen, InsightForge (an AI-powered talking BI dashboard), and AHA (an Agentic Healthcare Assistant).
| 🌐 Portfolio | davidfliesen.github.io |
| linkedin.com/in/fliesen | |
| 🐙 GitHub | github.com/DavidFliesen |
| 🎨 Sisters of Summerville | sisters-of-summerville.github.io |