ai-architect-newsletter

name

AI Architect Newsletter

description

Generate high-quality AI Architect newsletters with latest AI news, research integration, and visual design. Use when creating newsletters, researching AI developments, synthesizing AI news for architects, or distributing intelligence reports. Covers AI model releases, research papers, tool launches, architecture patterns, production systems, and enterprise AI trends. Integrates with FrankX research hub and supports both daily briefs and weekly deep-dives.

AI Architect Newsletter

Purpose

Automated intelligence newsletter generation for AI Architects, combining latest AI news, FrankX research hub insights, and visual storytelling into production-ready HTML/text newsletters.

When to Use

• /ai-architect-newsletter - Generate weekly newsletter
• /ai-architect-newsletter daily - Quick daily brief
• /ai-architect-newsletter [topic] - Deep dive on specific topic
• /ai-architect-newsletter status - Review recent newsletters

Quick Start

Generate Weekly Newsletter

# Basic invocation (uses Opus 4.6 recommended)
/ai-architect-newsletter

# The system will:
# 1. Gather latest AI news (WebSearch)
# 2. Pull relevant research from /research hub
# 3. Generate visual newsletter (HTML + text)
# 4. Save to content/newsletters/YYYY-MM-DD-newsletter.html
# 5. Display summary with preview link

Newsletter Structure

1. Header Section

• Custom header image (AI Architect theme)
• Issue number, date, edition type
• Editor's note with Frank's perspective

2. Top Stories (5 key developments)

Each story includes:

• Headline with impact level
• "Why This Matters for AI Architects" analysis
• Visual asset (embedded or linked)
• Technical details or code examples
• Read more link to source

3. Deep Dive Section

One technical deep-dive featuring:

• Architecture diagrams
• Code examples
• Implementation patterns
• Production considerations

4. Research Spotlight

Highlight from FrankX research hub:

• Recent /research findings
• Cross-referenced with news
• Actionable insights
• Links to full research files

5. Tools Worth Watching

3-4 new tools with:

• Quick take (1-2 sentences)
• Use case for AI Architects
• GitHub/product link
• Integration considerations

6. Footer

• Newsletter archive link
• Social links (X, LinkedIn, GitHub)
• Unsubscribe/preferences
• Copyright notice

Intelligence Gathering

AI News Sources

See ai-news-sources.md for complete source list including:

Model Releases:

• OpenAI, Anthropic, Google DeepMind, Meta AI
• Cohere, Mistral, Stability AI, Hugging Face

Research:

• arXiv (cs.AI, cs.CL, cs.LG)
• Major lab blogs (OpenAI Research, Anthropic Research)
• Conference proceedings (NeurIPS, ICML, ACL)

Tools & Frameworks:

• GitHub trending (AI/ML repositories)
• LangChain, LlamaIndex, CrewAI releases
• MCP server ecosystem
• Agent frameworks (AutoGPT, BabyAGI updates)

Enterprise AI:

• Gartner AI reports
• Production AI case studies
• MLOps platform updates
• AI infrastructure news

Research Hub Integration

The skill automatically scans /research/ directory for:

• Recent intelligence briefs (/research command output)
• Topic-specific deep dives
• Tool evaluations
• Pattern discoveries

Cross-references news with research to provide context and depth.

Visual Asset Strategy

AI Lab Logos:

• Store in assets/branding/labs/
• OpenAI, Anthropic, Google, Meta, etc.
• Used for story attribution

Generated Images:

• Nano Banana MCP for custom header images
• Architecture diagrams via Nano Banana
• AI-themed newsletter headers
• Concept illustrations for complex topics

Embedding vs Linking:

• Embed: Logo badges, small icons (<50KB)
• Link: Header images, diagrams, screenshots
• Optimization: All images compressed for email clients

Newsletter Modes

Weekly Newsletter (Default)

Trigger: /ai-architect-newsletter

Output:

• 5-7 top stories
• 1 deep dive (1500-2000 words)
• Research spotlight
• Tools section
• ~15-20 min read time

Recommended Model: Opus 4.6 (deep synthesis)

Daily Brief

Trigger: /ai-architect-newsletter daily

Output:

• Top 3 stories
• Quick takes (100-150 words each)
• Notable tools (1-2)
• ~5 min read time

Recommended Model: Sonnet 4.5 (faster)

Topic Deep Dive

Trigger: /ai-architect-newsletter [topic]

Examples:

• /ai-architect-newsletter agentic systems
• /ai-architect-newsletter vision models
• /ai-architect-newsletter production RAG

Output:

• Focused on single topic
• Multi-source synthesis
• Code examples and patterns
• Architecture recommendations

Recommended Model: Opus 4.6 (depth)

Status Check

Trigger: /ai-architect-newsletter status

Output:

• List recent newsletters
• Performance stats (if tracking enabled)
• Scheduled newsletters
• Archive links

Scripts Reference

gather-ai-news.ts

Purpose: Automated news gathering via WebSearch

Usage:

// Called automatically during newsletter generation
// Or manually: npx tsx scripts/gather-ai-news.ts --mode weekly

Output: JSON file with structured news data Location: .claude/skills/ai-architect-newsletter/cache/news-YYYY-MM-DD.json

See script for configuration options.

process-research.ts

Purpose: Scan and index FrankX research hub

Usage:

// Scans /research/ directory for relevant content
// Indexes by topic, date, relevance

Output: Research index JSON Cross-reference: Matches news topics with research findings

generate-newsletter.ts

Purpose: Template engine for HTML/text output

Usage:

// Processes gathered data into newsletter format
// Applies templates, injects content, optimizes assets

Templates Used:

• assets/templates/newsletter.html - Main HTML template
• assets/templates/newsletter.txt - Plain text version
• assets/templates/social-preview.html - Social sharing card

optimize-images.ts

Purpose: Image processing and embedding

Usage:

// Compresses images for email clients
// Converts to base64 for embedding (small images)
// Uploads to CDN and generates links (large images)

Optimization:

• Resize for email clients (max 600px width)
• Compress JPEG (80% quality)
• PNG optimization via pngquant
• WebP fallbacks for modern clients

Voice & Style Guidelines

Frank's Newsletter Voice

See content-patterns.md for complete style guide.

Key Principles:

• Lead with impact: "Why this matters for AI Architects" first
• No hype: Precise technical language, factual analysis
• Actionable: Every story includes "What you can do" section
• Code over prose: Show implementations, not just concepts
• Humble expertise: Confident analysis without guru language

Tone:

• Studio energy at 2am (focused, building)
• Builder-to-builder communication
• Results over philosophy
• Specific numbers and examples

Avoid:

• Spiritual/guru language
• Grandiose claims ("revolutionary", "game-changing")
• Over-explaining fundamentals
• Marketing copy tone
• Emojis (unless data/code context)

Output Locations

FrankX Repository

/mnt/c/Users/Frank/FrankX/
├── content/newsletters/
│   ├── YYYY-MM-DD-weekly.html
│   ├── YYYY-MM-DD-weekly.txt
│   └── archive/
└── public/newsletters/
    └── images/
        └── YYYY-MM-DD/

AI Architect Academy Repository

/mnt/c/Users/Frank/ai-architect-academy/
├── newsletters/
│   ├── YYYY-MM-DD.html
│   └── archive/
└── assets/newsletter-images/

Multi-Repo Support

Repo Detection:

// Automatically detects current repo
const isAcademy = process.cwd().includes('ai-architect-academy');
const outputPath = isAcademy
  ? 'newsletters/'
  : 'content/newsletters/';

Cross-Repo Syncing:

• Newsletter generated in FrankX can be copied to Academy
• Research hub remains in FrankX only
• Academy uses external research links

Progressive Disclosure

This SKILL.md provides core workflow. For detailed information:

• ai-news-sources.md - Complete source list, search patterns, RSS feeds
• visual-standards.md - Design guidelines, brand colors, image specs
• content-patterns.md - Newsletter structures, voice guide, templates
• topic-clusters.md - AI Architect topic taxonomy, tagging system

Integration with Existing Commands

Synergy with /research:

# 1. Run research first
/research agentic systems

# 2. Generate newsletter with research integrated
/ai-architect-newsletter

# Research findings automatically included in newsletter

Synergy with /generate-social:

# After newsletter generation
/generate-social content/newsletters/YYYY-MM-DD-weekly.html

# Creates X thread + LinkedIn post from newsletter

Quality Checklist

Before sending newsletter:

• All sources verified and linked
• Code examples tested
• Images optimized (<500KB total)
• HTML renders in major email clients
• Plain text version readable
• Links functional
• Unsubscribe link present
• Mobile responsive
• No broken images
• Spell check passed

Model Recommendations

Opus 4.6 (Recommended for quality):

• Weekly newsletter generation
• Deep dive topics
• Multi-source synthesis
• Complex architecture diagrams

Sonnet 4.5 (Faster):

• Daily briefs
• Status checks
• Quick updates
• Research indexing

When to use each:

• First newsletter run: Opus 4.6 (establish quality baseline)
• Daily operations: Sonnet 4.5 (speed)
• Important editions: Opus 4.6 (quality)
• Routine updates: Sonnet 4.5 (efficiency)

Troubleshooting

Newsletter not generating:

• Check WebSearch tool availability
• Verify /research directory accessible
• Ensure write permissions to output directory

Missing images:

• Verify Nano Banana MCP connection
• Check image optimization script
• Ensure sufficient disk space

Research not integrated:

• Run /research command first to generate content
• Verify research files in /research/ directory
• Check file permissions

Multi-repo issues:

• Verify current working directory
• Check path configurations in scripts
• Ensure both repos accessible

Future Enhancements

• Automated scheduling (weekly cron)
• Email distribution integration (Resend MCP)
• Analytics tracking (open rates, clicks)
• A/B testing for subject lines
• Subscriber segmentation
• RSS feed generation
• Archive website

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Created: 2026-02-16 Status: Production Ready Model: Works with Sonnet 4.5, Opus 4.6 recommended for quality Line Count: 458 (under 500-line rule ✅)