Universal 1-Line Quickstart
daily-ai-brief runs natively in any modern developer environment with zero setup, zero environment variables, and zero API keys:
# ⚡ Option 1: Universal 1-Line Installer
curl -fsSL https://daily-ai-brief.builditwithai.xyz/install | bash
# 🐍 Option 2: Run via Python (uvx)
uvx daily-ai-brief
# 📦 Option 3: Run via Node (npx)
npx -y daily-ai-brief
The 4 Intelligence Layers
Instead of dumping tens of thousands of tokens of noisy HTML into your model's context window, daily-ai-brief continuously ingests, parses, deduplicates, and structures four primary sources of AI intelligence:
Real-time tracking of research blogs and announcements from Berkeley AI Research (BAIR), Google DeepMind, Meta AI, Mistral AI, Microsoft Research, and Hugging Face.
Curated high-impact preprints from Hugging Face Daily Papers and arXiv CS categories (cs.AI, cs.LG, cs.CL, stat.ML) filtered by community velocity.
Episode summaries and key architectural takeaways from leading AI engineering shows (*Latent Space*, *Dwarkesh Podcast*, *No Priors*, *The Cognitive Revolution*, *TWIML AI*).
Trending open-source model drops from the Hugging Face Hub, parameter scale breakdowns, license tags, and download velocity deltas.
AI Agent & Harness Setup
Add daily-ai-brief to your favorite developer agent in seconds:
Claude Desktop & Claude Code
Add to claude_desktop_config.json:
{
"mcpServers": {
"daily-ai-brief": {
"command": "uvx",
"args": ["--from", "daily-ai-brief", "daily-ai-brief"]
}
}
}
Cursor, Windsurf & Antigravity
Add to .cursor/mcp.json or IDE settings:
{
"mcpServers": {
"daily-ai-brief": {
"command": "npx",
"args": ["-y", "daily-ai-brief"]
}
}
}
Tool & Parameter Reference
| Tool Name | Parameters | Description |
|---|---|---|
get_daily_ai_brief |
focus_areas, date |
1-call synthesized markdown executive brief across all 4 intelligence layers. |
get_frontier_lab_updates |
labs, max_items |
Direct research updates from frontier AI research organizations. |
get_ai_podcasts |
podcasts, max_items |
Latest technical podcast drops with key host arguments and summaries. |
get_model_drops |
limit |
Trending open weights, model parameter scales, and download deltas. |
get_arxiv_breakthroughs |
categories, query, max_results |
High-impact preprints filtered by topic and community engagement. |
Zero-Token Waste Architecture
Standard web browsing tools force an agent to download full web pages, stripping HTML locally and consuming up to 50,000 tokens per search session.
daily-ai-brief pre-processes all feeds at the edge, normalizes typography, filters tracking scripts, and delivers clean, high-density Markdown formatted specifically for LLM context digestion:
{
"status": "success",
"brief_date": "2026-08-16",
"frontier_labs": 3,
"preprints_analyzed": 14,
"podcasts_indexed": 4,
"open_models": 8,
"total_tokens": 1420
}