Format: YYYY-MM-DD

Previous Stories (Deduplication)

Track previously covered stories in:

./findings/ai-daily-digest/.covered-stories

Format: Each story on one line with pipe-separated fields:

{date}|{story_id}|{url}

Where:

date — Date story was covered (YYYY-MM-DD)
story_id — Normalized identifier: lowercase, no spaces, key terms only (e.g., falcon-h1r-7b-release, xai-20b-funding, openai-gpt5-launch)
url — Source URL

Example:

2026-01-28|deepseek-r1-release|https://api-docs.deepseek.com/news/news250120
2026-01-29|falcon-h1r-7b-release|https://falcon-lm.github.io/blog/falcon-h1r-7b/
2026-01-29|xai-20b-funding|https://news.crunchbase.com/venture/biggest-funding-rounds

Keep last 300 entries (trim oldest when exceeding).

Purpose: Prevents duplicate stories across days. Web searches return same popular stories regardless of date filters. Story ID enables fuzzy matching across different URLs covering same event.

Friday Weekly Recap Mode

When running on Friday, automatically enable broader research:

Extended date range: Cover full week (7 days) regardless of last run
More search queries: Add "this week in AI", "AI weekly roundup" patterns
Lower-tier sources: Include more community sources (Reddit, Twitter)
Catch-up section: Add "📅 Stories You Might Have Missed" section
Digest title: Use "Weekly Recap" instead of "Daily Digest"
Blog discovery: Search for new indie bloggers (see below)

Blog Discovery (Friday)

Search for new interesting smaller blogs:

"AI blog" OR "ML blog" interesting {date_range}
site:substack.com AI machine learning
site:medium.com AI LLM practical (filter by quality)
site:dev.to AI machine learning tutorial
HN "Show HN" AI blog

When finding new quality blogs:

Add to "🆕 New Blogs Discovered" section in digest
Suggest adding to sources.md if consistently good

Quality signals:

Original content (not aggregation)
Technical depth
Practical examples
Active (posted in last 3 months)

Workflow

Phase 1: Setup

Read sources.md for search patterns and URLs
Read output-template.md for digest format
Parse arguments for focus area
Read .last-run file:
- If exists: set date range from last run date to today
- If missing: default to past 7 days (first run)
Calculate days since last run for digest header
Read .covered-stories file (CRITICAL):
- Parse each line: {date}|{story_id}|{url}
- Build two lookup sets:
  - covered_ids — Set of all story_ids
  - covered_urls — Set of all URLs
- If file missing or old format (URLs only): migrate by extracting story_ids, or start fresh
Friday check: If today is Friday, enable weekly recap mode

Phase 2: Technical Research

Skip if focus excludes technical

Search patterns:

AI LLM breakthrough OR release site:arxiv.org {date_range}
AI model release OR launch {date_range}
LLM framework tool release {date_range}
site:huggingface.co blog {date_range}
site:openai.com blog {date_range}
site:anthropic.com news {date_range}

Collect:

New model releases (GPT, Claude, Gemini, Llama, etc.)
Research paper highlights
Framework/tool updates (LangChain, LlamaIndex, vLLM, etc.)
Benchmark results

Phase 3: Business Research

Skip if focus excludes business

Search patterns:

AI startup funding OR acquisition {date_range}
AI company valuation OR investment {date_range}
site:techcrunch.com AI {date_range}
site:venturebeat.com AI {date_range}
OpenAI OR Anthropic OR Google AI business {date_range}

Collect:

Funding rounds
Acquisitions/mergers
Product launches
Partnership announcements
Market analysis

Phase 4: Engineering Impact Research

Skip if focus excludes engineering

Search patterns:

AI coding assistant OR developer tools {date_range}
AI engineering workflow productivity {date_range}
AI job market developer skills {date_range}
site:news.ycombinator.com AI OR LLM {date_range}
site:reddit.com/r/MachineLearning {date_range}
site:reddit.com/r/LocalLLaMA {date_range}

Collect:

New dev tools and integrations
Workflow automation updates
Job market trends
Community discussions and sentiment

Phase 5: Leadership Research

Skip if focus excludes leadership

Search patterns:

AI leadership engineering management {date_range}
AI team strategy CTO VP engineering {date_range}
site:hbr.org AI leadership management
site:mckinsey.com AI leadership
AI transformation organizational change {date_range}
engineering leadership AI adoption {date_range}

Collect:

AI strategy for engineering orgs
Team structure changes due to AI
Leadership perspectives on AI adoption
Org transformation case studies
Skills and competencies for AI era

Phase 6: GitHub Trending AI

Discover trending AI/ML repositories and tools:

Direct fetch:

Fetch https://github.com/trending?since=daily&spoken_language_code=en for overall trending
Fetch https://github.com/trending/python?since=daily (most AI repos)
Fetch https://github.com/trending/jupyter-notebook?since=daily (ML notebooks)

Search patterns:

site:github.com "stars" AI LLM new {date_range}
site:github.com trending machine learning {date_range}
github AI tool "just released" OR "new release" {date_range}
site:news.ycombinator.com "Show HN" github AI {date_range}

Collect:

New AI/ML repos gaining traction (100+ stars recently)
Framework releases and major updates
Interesting tools/demos with code
Open-source model implementations

Quality signals:

Stars growth rate (not just total)
Active development (recent commits)
Good documentation/README
Practical utility for engineers

Dedup note: Same repo may appear across days — use {repo-owner}-{repo-name} as story_id.

IMPORTANT: Include interesting/valuable GitHub repos even if not brand new (e.g., trending for past week, recent major updates, or popular repos not yet covered). Check against .covered-stories - if repo not already covered, include it regardless of age. Value and utility matter more than recency for GitHub content.

Phase 7: AI Tools for Professionals

Discover new AI apps/tools for specific professional domains:

Software Engineers:

Search patterns:

AI developer tools new release {date_range}
AI coding assistant launch {date_range}
AI code review tool {date_range}
AI debugging assistant {date_range}
"AI for developers" tool app {date_range}
site:producthunt.com AI developer coding {date_range}
AI IDE plugin extension {date_range}
AI terminal CLI tool {date_range}

Collect:

New AI coding assistants (beyond Copilot/Cursor)
AI-powered dev tools (testing, debugging, docs)
CLI tools with AI features
IDE plugins and extensions
Code review and analysis tools
AI for DevOps/infrastructure

Photographers & Videographers:

Search patterns:

AI photo editing tool new {date_range}
AI video editing software {date_range}
AI image generation photography {date_range}
AI video upscaling enhancement {date_range}
"AI for photographers" tool app {date_range}
"AI for videographers" tool app {date_range}
site:producthunt.com AI photo video {date_range}
AI color grading tool {date_range}
AI background removal tool {date_range}
AI video stabilization {date_range}

Collect:

Photo editing AI tools (retouching, enhancement)
Video editing assistants
AI color grading/correction
Background removal/replacement
Image upscaling and restoration
AI-powered camera apps
Video generation and editing
Motion tracking and VFX tools

Writers & Content Creators:

Search patterns:

AI writing tool new {date_range}
AI content generation platform {date_range}
"AI for writers" OR "AI writing assistant" {date_range}
site:producthunt.com AI writing content {date_range}
AI copywriting tool {date_range}
AI blog post generator {date_range}
AI script writing tool {date_range}

Collect:

AI writing assistants (beyond ChatGPT)
Content generation platforms
SEO-optimized content tools
Script and screenplay tools
Long-form content tools
AI editing and proofreading

Designers:

Search patterns:

AI design tool new {date_range}
AI Figma plugin {date_range}
"AI for designers" tool app {date_range}
site:producthunt.com AI design {date_range}
AI logo generator OR brand design {date_range}
AI UI UX design tool {date_range}
generative design AI {date_range}

Collect:

AI design tools and platforms
Figma/Sketch AI plugins
Logo and brand design generators
UI/UX design assistants
Generative design tools
Design system automation

Researchers & Academics:

Search patterns:

AI research tool new {date_range}
AI literature review OR research assistant {date_range}
"AI for researchers" OR "AI for academics" {date_range}
AI paper summarization tool {date_range}
AI citation management {date_range}
AI data analysis research {date_range}

Collect:

Literature review tools
Paper summarization services
Research assistants
Data analysis platforms
Citation management tools
Lab automation software

Educators & Teachers:

Search patterns:

AI education tool new {date_range}
AI tutoring platform OR adaptive learning {date_range}
"AI for teachers" OR "AI for educators" {date_range}
site:producthunt.com AI education learning {date_range}
AI lesson planning tool {date_range}
AI grading assessment {date_range}

Collect:

AI tutoring platforms
Adaptive learning systems
Lesson planning assistants
Assessment and grading tools
Curriculum design tools
Student engagement platforms

Healthcare Professionals:

Search patterns:

AI healthcare tool new {date_range}
AI medical imaging OR diagnostics {date_range}
"AI for doctors" OR "AI for clinicians" {date_range}
AI clinical decision support {date_range}
AI EHR electronic health records {date_range}
AI medical scribing documentation {date_range}

Collect:

Medical imaging AI tools
Diagnostic assistance
Clinical decision support
Medical documentation/scribing
EHR integration tools
Patient care optimization

Legal Professionals:

Search patterns:

AI legal tool new {date_range}
AI contract review OR analysis {date_range}
"AI for lawyers" OR "legal tech AI" {date_range}
AI legal research platform {date_range}
AI document automation legal {date_range}
AI compliance tool {date_range}

Collect:

Contract review and analysis
Legal research platforms
Document automation
Compliance tools
Case law analysis
E-discovery tools

Finance & Accounting:

Search patterns:

AI finance tool new {date_range}
AI accounting automation {date_range}
"AI for finance" OR "AI for accounting" {date_range}
site:producthunt.com AI finance fintech {date_range}
AI fraud detection financial {date_range}
AI forecasting financial {date_range}

Collect:

Accounting automation
Financial forecasting tools
Fraud detection systems
Tax preparation AI
Audit assistance
Investment analysis tools

Quality signals (all domains):

Actually useful (not just demos)
Accessible pricing or free tier
Active development
Good reviews/community reception
Clear value proposition for target profession

Phase 8: AI Application Domains

Discover AI applications across specific domains:

AI in Education:

Search patterns:

AI education platform OR edtech {date_range}
adaptive learning AI personalized education {date_range}
AI tutoring breakthrough {date_range}
AI assessment education {date_range}

Collect:

New educational AI platforms
Adaptive learning breakthroughs
AI tutoring innovations
Assessment technology
Educational AI research

AI in Healthcare & Biotech:

Search patterns:

AI drug discovery OR biotech {date_range}
AI diagnostics medical breakthrough {date_range}
AI clinical trials healthcare {date_range}
AI protein folding OR molecular {date_range}
AI radiology pathology imaging {date_range}

Collect:

Drug discovery AI advances
Diagnostic breakthroughs
Clinical trial innovations
Molecular biology AI
Medical imaging advances
Precision medicine tools

AI in Creative Industries:

Search patterns:

AI music generation OR composition {date_range}
AI game development OR procedural generation {date_range}
AI art generation breakthrough {date_range}
AI film production OR VFX {date_range}
AI voice cloning OR synthesis {date_range}

Collect:

Music generation tools
Game development AI
Art generation advances
Film/VFX innovations
Voice synthesis breakthroughs
Creative AI tools

AI in Robotics & Hardware:

Search patterns:

AI robotics OR humanoid robot {date_range}
embodied AI OR physical AI {date_range}
robot learning OR manipulation {date_range}
autonomous vehicle OR robotaxi {date_range}
drone AI OR aerial robotics {date_range}

Collect:

Humanoid robot developments
Embodied AI research
Robot learning breakthroughs
Autonomous vehicle advances
Industrial robotics AI
Consumer robotics

AI in Gaming:

Search patterns:

AI gaming NPC OR game AI {date_range}
procedural generation AI game {date_range}
AI game testing OR QA {date_range}
AI esports OR competitive gaming {date_range}

Collect:

AI-powered NPCs
Procedural generation tools
Game testing automation
AI in esports
Game design AI

AI in Scientific Research:

Search patterns:

AI scientific discovery OR research {date_range}
AI lab automation OR experiment {date_range}
AI hypothesis generation {date_range}
AI materials science OR chemistry {date_range}
AI climate modeling OR simulation {date_range}

Collect:

Scientific discovery AI
Lab automation advances
Hypothesis generation tools
Materials science AI
Climate modeling breakthroughs
Research acceleration tools

Consumer AI Products:

Search patterns:

AI consumer app launch {date_range}
AI smartphone feature OR mobile {date_range}
site:producthunt.com AI consumer {date_range}
AI home automation OR smart home {date_range}
AI personal assistant device {date_range}

Collect:

Consumer AI apps
AI smartphone features
Smart home innovations
Personal AI assistants
AI wearables
Entertainment AI

Phase 9: AI Safety & Ethics

Search patterns:

AI safety research OR alignment {date_range}
AI ethics guidelines OR framework {date_range}
AI regulation OR policy {date_range}
site:anthropic.com alignment OR safety {date_range}
AI incident OR failure {date_range}
interpretability OR explainable AI {date_range}
AI bias fairness {date_range}

Collect:

AI safety research updates
Alignment breakthroughs
Policy and regulation developments
AI ethics frameworks
Incident reports and lessons
Interpretability advances
Bias and fairness research
Safety organization updates (Anthropic, OpenAI, DeepMind safety teams)

Phase 10: Open Source AI Ecosystem

Search patterns:

open source AI model release {date_range}
open weights OR open source LLM {date_range}
site:huggingface.co open source {date_range}
AI dataset release OR open data {date_range}
democratizing AI OR AI democratization {date_range}
EleutherAI OR LAION OR BigScience {date_range}

Collect:

Open source model releases
Open weight models (Apache 2.0, MIT, etc.)
New open datasets
Community-driven projects
Democratization initiatives
Open source AI tools/infrastructure
Collaborative research efforts

Phase 11: AI Infrastructure & Hardware

Search patterns:

AI chip OR AI accelerator {date_range}
GPU OR TPU OR AI compute {date_range}
Groq OR Cerebras OR AI hardware {date_range}
AI training infrastructure {date_range}
model serving OR inference optimization {date_range}
edge AI OR on-device AI {date_range}
AI datacenter OR compute cluster {date_range}

Collect:

AI chip announcements
Custom silicon developments
Training infrastructure innovations
Model serving platforms
Inference optimization tools
Edge AI hardware
Datacenter AI architecture
Compute efficiency breakthroughs

Phase 12: Regional AI Developments

Search patterns:

European AI OR EU AI regulation {date_range}
China AI OR Chinese AI development {date_range}
Japan AI OR Japanese AI {date_range}
Korea AI OR Korean AI {date_range}
India AI development {date_range}
AI policy Europe OR Asia {date_range}
Mistral OR French AI {date_range}

Collect:

European AI developments (Mistral, regulation, research)
Chinese AI advances (DeepSeek, ByteDance, etc.)
Japanese AI initiatives
Korean AI developments
Indian AI ecosystem
Regional policy differences
Non-US AI companies
Regional AI research

Phase 13: YouTube AI Videos

Discover new interesting AI-related YouTube content:

Search patterns:

AI tutorial OR explanation site:youtube.com {date_range}
LLM OR "large language model" site:youtube.com {date_range}
AI news OR update site:youtube.com {date_range}
machine learning explained site:youtube.com {date_range}
AI coding assistant demo site:youtube.com {date_range}
"AI paper" review OR breakdown site:youtube.com {date_range}

Priority channels (check for recent uploads):

3Blue1Brown (math/ML visualizations)
Andrej Karpathy (neural nets, AI education)
Yannic Kilcher (paper reviews)
Two Minute Papers (research highlights)
AI Explained (news, analysis)
Fireship (dev-focused AI content)
Matt Wolfe (AI tools, news)
The AI Advantage (practical tutorials)
AI Jason (tutorials, tools)
Prompt Engineering (practical LLM use)

Collect:

Paper breakdowns and explanations
AI tool demos and tutorials
News roundups and analysis
Technical deep dives
Practical how-to videos

Quality signals:

Educational value (not just hype)
Technical accuracy
Good production quality
Useful for engineers
Recent uploads (within date range)

Dedup note: Use youtube-{channel}-{video-slug} as story_id.

Phase 14: Cool & Thought-Provoking Research

Search for surprising, mind-bending, or philosophical AI content:

Search patterns:

AI "mind-blowing" OR "incredible" demo {date_range}
AI art OR creative unexpected {date_range}
AI philosophical implications {date_range}
site:twitter.com AI demo viral {date_range}
site:reddit.com/r/singularity {date_range}
AI "you won't believe" OR "wait what" {date_range}
AI ethics dilemma OR thought experiment {date_range}

Collect:

Viral demos showing unexpected capabilities
Creative/artistic AI applications
Philosophical thought experiments
"Wait, that's possible now?" moments
Unusual cross-domain applications
Dystopian/utopian implications worth pondering

Quality filter: Must genuinely provoke thought, not just clickbait.

Phase 15: Newsletter & Blog Aggregation

IMPORTANT: Always search BOTH specific known sources AND broader platforms. Don't limit to listed authors—actively discover new quality content.

Specific Known Sources

Check these high-quality sources:

Simon Willison's blog (simonwillison.net)
Latent Space blog (latent.space)
The Batch (deeplearning.ai/the-batch)
Ben's Bites (bensbites.com)

Indie bloggers (check for recent posts):

Lilian Weng, Jay Alammar, Eugene Yan
Chip Huyen, Vicki Boykis, Hamel Husain
Sebastian Ruder, swyx, François Chollet

Search pattern: site:{blog_url} {date_range} OR site:{blog_url} 2026-02 (flexible date format)

Broader Platform Searches (REQUIRED)

Always search these platforms for AI content:

Substack AI Content:

site:substack.com AI OR LLM {date_range}
site:substack.com machine learning February 2026
Look for: Technical analysis, AI engineering insights, research breakdowns

Medium AI Articles:

site:medium.com AI machine learning {date_range}
site:medium.com "last week in AI" OR "AI trends"
Look for: Industry analysis, practical tutorials, trend pieces

DEV.to AI Content:

site:dev.to AI tutorial OR insights {date_range}
site:dev.to machine learning OR LLM
Look for: Developer tutorials, tool reviews, practical guides

General AI Blog Search:

AI blog post {date_range} analysis insights
"AI engineering" OR "ML engineering" blog post this week
AI research blog post analysis {date_range}

Newsletter Discovery:

"AI newsletter" OR "ML newsletter" latest issue 2026
AI weekly newsletter {date_range}
Look for: Curated news, research roundups, industry updates

Quality Signals for New Sources:

Original analysis (not just aggregation)
Technical depth appropriate for engineers
Recent activity (last 3 months)
Clear expertise/credibility
Practical insights

When finding new quality blogs:

Note in digest under "🆕 New Blogs & Sources Discovered" section
Include: Blog name, URL, focus area, why interesting
Consider suggesting addition to sources.md if consistently high quality

Phase 16: Synthesis (CRITICAL - Dedup BEFORE Digest Generation)

⚠️ CRITICAL: All deduplication MUST happen in this phase BEFORE generating digest in Phase 17.

Step 1: Generate story IDs for all collected items

For each story found, generate a normalized story_id:

Lowercase, hyphen-separated
Include: company/product name + action + key detail
Examples:
- "Falcon-H1R 7B release" → falcon-h1r-7b-release
- "xAI raises $20B" → xai-20b-funding
- "OpenAI launches GPT-5" → openai-gpt5-launch
- "Simon Willison on sandboxes" → simonwillison-sandboxes-post
- "CEO AI anxiety survey" → wef-ceo-ai-anxiety-survey

Step 2: Deduplicate within session

Remove duplicate stories across sources (same event, different URLs).

Step 3: Deduplicate against history (STRICT - USE IN-MEMORY DATA FROM PHASE 1)

⚠️ Use the .covered-stories data loaded in Phase 1 (in-memory covered_ids and covered_urls sets).

DO NOT re-read the file. DO NOT update the file yet.

Filter out ANY story where:

Exact story_id match in covered_ids → SKIP (e.g., falcon-h1r-7b-release already covered)
Similar story_id in covered_ids → SKIP (fuzzy: same product/company + same action)
Exact URL match in covered_urls → SKIP
Same announcement, different angle → SKIP

Examples of stories to SKIP:

Falcon-H1R 7B covered yesterday → skip even if new benchmark article
Simon Willison blog post covered → skip even if different site quotes it
xAI $20B funding covered → skip follow-up analysis articles
CEO AI survey covered → skip reposts on different sites

Stories to INCLUDE:

Genuinely new announcements (story_id NOT in covered_ids, URL NOT in covered_urls)
New developments on previously covered topics (e.g., acquisition CLOSED vs announced)
Different products from same company

Step 4: Keep only filtered stories

Store the filtered list. These are the ONLY stories that will appear in the digest.

Step 5: Rank remaining stories

Score by:

Source credibility (tier 1: arxiv, official blogs; tier 2: tech news; tier 3: social)
Engagement signals
Relevance to engineering work

Step 6: Categorize

Assign to template sections.

Step 7: Top 5

Select most impactful stories from NEW filtered content only.

Phase 17: Generate Digest

⚠️ Only use the filtered stories from Phase 16 Step 4. Do NOT include any stories that were filtered out.

Load output-template.md
Fill sections with filtered items from Phase 16
Format:
- Each item: - [ ] **[Title]** — [1-line summary] [Source: URL]
- Checkbox prefix - [ ] on ALL story items with source URLs (renders as clickable task in Notion)
- NO checkbox on: Top 5 summary, prose bullets (Workflow Changes, Job Market, Org Transformation), Action Items, Things to Explore, Connections, Sources section
- Include source URLs
- Add personal takeaways section
If fewer than 5 stories after filtering, note "Light news day" in digest

Phase 18: Save Digest Files (DO NOT Update .covered-stories Yet)

⚠️ CRITICAL: Do NOT update .covered-stories in this phase. That happens in Phase 20 AFTER verification.

Step 1: Create directories if needed

mkdir -p ./findings/ai-daily-digest

Step 2: 🔴 SAVE TO NOTION WORKSPACE (REQUIRED - DO NOT SKIP)

⚠️ CRITICAL: This step is MANDATORY. The digest MUST be saved to Notion.

Step 2a: Load Notion MCP tool

Notion tools are deferred and must be loaded first using ToolSearch:

select:mcp__notion__notion-create-pages

Step 2b: Read digest content

Read the digest file just created to get the full content.

Step 2c: Create Notion page

Use mcp__notion__notion-create-pages to create page under parent "🤖 AI Digests":

Parent page ID: 3035f40a-a0f4-81ea-8033-fc823dd8eb92
Title property: 🤖 AI Digest {YYYY-MM-DD}
Content: Full digest markdown (excluding the H1 title line, which goes in properties)

Example call:

{
  "parent": {"page_id": "3035f40a-a0f4-81ea-8033-fc823dd8eb92"},
  "pages": [{
    "properties": {"title": "🤖 AI Digest 2026-02-16"},
    "content": "**Focus:** All\n**Coverage:** ...\n\n## 🔬 Technical Advances\n..."
  }]
}

Verification: Confirm Notion page created successfully (returns page URL) before continuing.

Step 3: Write archive copy

./findings/ai-daily-digest/ai-digest-{YYYY-MM-DD}.md

Step 4: Update last run date ONLY

./findings/ai-daily-digest/.last-run

Use Write tool to save today's date in YYYY-MM-DD format (e.g., 2026-01-28). File contains only the date string, nothing else.

⚠️ DO NOT update .covered-stories yet. Wait for verification in Phase 19.

Verification: Confirm files written successfully (Notion page + 1 archive file + 1 last-run file) before proceeding to Phase 19.

Phase 19: Duplicate Verification (Spawn Agent)

⚠️ NOTE: .covered-stories has NOT been updated yet with today's stories. This is intentional.

Spawn a separate verification agent to check for duplicates as a sanity check.

Agent task:

Verify AI digest for duplicate stories against recent history.

Files to read:
1. Today's digest: ./findings/ai-daily-digest/ai-digest-{YYYY-MM-DD}.md
2. Last 3 digests from ./findings/ai-daily-digest/ (by date, excluding today)
3. Covered stories: ./findings/ai-daily-digest/.covered-stories (should NOT include today's stories yet)

Check for:
1. **Exact duplicates** — Same story_id in today's digest and .covered-stories (before today)
2. **Near duplicates** — Same company/product + similar action within 7 days
3. **URL duplicates** — Same URL appeared in previous digests
4. **Topic fatigue** — Same topic (e.g., "GPT-5 rumors") covered 3+ times in past week

For each potential duplicate found:
- Story title from today's digest
- Matching story from history (date, story_id, URL)
- Duplicate type (exact/near/url/fatigue)
- Recommendation: REMOVE or KEEP (with justification)

Output format:
## Duplicate Check Results

### ❌ Duplicates Found (Remove)
- **{Story}** — matches {history_story} from {date} [{type}]

### ⚠️ Borderline (Review)
- **{Story}** — similar to {history_story} [{type}] — {why borderline}

### ✅ All Clear
{count} stories verified as unique

If duplicates found, list specific line numbers in today's digest to remove.

Agent type: general-purpose

On duplicate detection:

If agent finds duplicates marked REMOVE:
- Read the duplicate report
- Edit both digest files (Obsidian + archive) to remove flagged stories
- Log removed stories
- DO NOT proceed to Phase 20 until duplicates are removed
If only borderline items:
- Keep stories but note in digest footer: *Verification: {N} borderline items retained*
- Proceed to Phase 20
If all clear:
- Proceed to Phase 20

Output Requirements

Use emojis for section headers (per Notion conventions)
Bullet points over paragraphs
Include wikilinks to existing workspace pages where relevant
All items must have source URLs
Top 5 stories section required
Personal takeaways with actionable items
Show coverage period in header (e.g., "Coverage: Jan 25 - Jan 28 (3 days)")

Error Handling

If WebSearch fails for a source, log and continue with others
Minimum viable digest: at least 5 items total across categories
If < 5 items found, expand date range by 1 day and retry
Only update .last-run on successful digest generation

Example Invocations

# Full digest since last run
/ai-digest

# Technical focus only
/ai-digest --focus technical

# Business news only
/ai-digest --focus business

Phase 20: Update Covered Stories (FINAL STEP)

⚠️ Only execute this phase AFTER Phase 19 verification passes (or duplicates are removed).

Append to covered stories:

./findings/ai-daily-digest/.covered-stories

For each story in today's FINAL digest (after any removals from Phase 19), append line in format:

{date}|{story_id}|{url}

Example entries:

2026-01-30|nvidia-isaac-groot-n16|https://nvidianews.nvidia.com/news/nvidia-releases-new-physical-ai-models
2026-01-30|apple-qai-acquisition|https://techstartups.com/2026/01/29/apple-acquires-israeli-ai-startup
2026-01-30|simonwillison-sprites-dev|https://simonwillison.net/2026/Jan/9/sprites-dev/

Implementation:

Use Bash with heredoc to append all stories at once.

Cleanup: Keep file under 300 lines — if over, trim oldest entries from top.

Final verification: Confirm file updated successfully. Digest generation complete.

📬 Newsletter Integration

Story items use - [ ] checkbox format for newsletter curation:

Unchecked - [ ] = not selected
Checked - [x] = selected for weekly newsletter

User checks stories in Notion → /ai-newsletter extracts checked items into curated weekly newsletter. See ai-newsletter skill for details.

ai-daily-digest

AI Daily Digest Skill

Arguments

State Files

Last Run Date