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byGavin Slater

Blog Content Calendar

Purpose

Track planned, in-progress, and published blog posts to maintain consistent monthly publishing cadence supporting AI career transition.


October 2025

Week of Oct 14-20

  • Finalize first post: "Building a Personal Consultant AI System"
    • Status: Content draft
    • Target publish: Oct 21, 2025
    • Length: 1,500-2,500 words
    • Tags: AI, Architecture, Python, Personal AI, MCP Servers
    • Distribution: LinkedIn (primary), Twitter

Week of Oct 21-27

  • Published: Personal Consultant AI System (Oct 21)
  • Plan next post: Credit Workflow Application

November 2025

Week of Nov 4-10

  • Post idea: "Automating Credit Risk Workflows with Python"
    • Focus: Credit Risk Workflow application
    • Audience: Risk professionals + Python developers
    • Topics: Workflow automation, process optimization, Python
    • Length: 1,200-1,800 words
    • Tags: Python, Risk Management, Automation, Process Optimization

Week of Nov 11-17

  • Post idea: "My 8-Bit Computer Journey: From Ben Eater to Working CPU"
    • Focus: Hardware project and learning journey
    • Audience: Electronics enthusiasts + career transitioners
    • Topics: Electronics, Digital Logic, Learning, Portfolio Projects
    • Length: 1,500-2,000 words
    • Tags: Electronics, Hardware, Learning Journey, Portfolio Projects

December 2025

Week of Dec 2-8

  • Post idea: "AI Career Transition: 6 Months of Learning and Building"
    • Focus: Career transition progress and insights
    • Audience: Career changers, hiring managers
    • Topics: Career transition, skill development, portfolio building
    • Length: 1,500-2,500 words
    • Tags: Career Transition, AI, Learning Journey, Portfolio

Week of Dec 16-22

  • Post idea: "2025 Review & 2026 Goals: AI Journey Continues"
    • Focus: Year in review and future plans
    • Audience: Network and potential employers
    • Topics: Reflection, goals, progress tracking
    • Length: 1,000-1,500 words
    • Tags: Goals, Career, Reflection, AI

January 2026

Week of Jan 6-12

  • Post idea: "Risk Management Meets AI: The Future of Financial Services"
    • Focus: Strategic thinking about AI in risk management
    • Audience: Financial services professionals, AI leaders
    • Topics: Risk management, AI applications, financial services
    • Length: 1,800-2,500 words
    • Tags: Risk Management, AI, Financial Services, Strategic Thinking

Post Ideas Backlog

Portfolio Project Deep-Dives:

  • FreeAgent Invoice Agent: OAuth integration and financial automation
  • Health Agent: Parkrun tracking and quantified self
  • Location Agent: Geolocation analysis and movement patterns
  • Interactive CV Website: This very site as a portfolio piece
  • Barings/Daiwa Investigation projects: Historical perspective

Technical Tutorials:

  • "Building an MCP Server for Gmail Integration"
  • "Multi-Agent Systems: Architecture and Coordination"
  • "Context Management in AI Systems: The UFC Approach"
  • "OAuth 2.0 Implementation in Python: A Practical Guide"

Career Transition Insights:

  • "From 300-Person Team Leader to Python Developer: Lessons Learned"
  • "How My Risk Management Experience Informs My AI Work"
  • "Portfolio Projects vs Resume: What Actually Gets Interviews"
  • "LinkedIn Optimization for AI Career Transition"

Learning Journey:

  • "Python Learning Path: From Scripts to Production Systems"
  • "Understanding AI Systems Through Building Them"
  • "Books and Resources That Changed My AI Journey"
  • "The Value of Learning in Public"

Quantified Self & Productivity:

  • "273 Parkruns and Counting: Data-Driven Fitness"
  • "Automating Life Management: My Personal AI Infrastructure"
  • "Overcoming Procrastination with AI and Automation"
  • "GTD + AI: Modern Task Management"

Monthly Publishing Goals

Target Cadence: 1 post per month

  • Realistic: Sustainable alongside portfolio work and job search
  • Consistent: Builds audience and demonstrates commitment
  • Quality over quantity: Well-researched, valuable content

Length Guidelines:

  • Technical deep-dives: 1,500-2,500 words
  • Project showcases: 1,000-1,500 words
  • Quick insights: 500-800 words

Distribution Strategy:

  1. Publish on blog (gavinslater.com/blog)
  2. Share on LinkedIn with summary and key insights
  3. Tweet summary with link
  4. RSS feed for subscribers
  5. Reference in job applications and networking

Success Metrics

Engagement:

  • LinkedIn shares and comments
  • Twitter engagement
  • Direct messages/inquiries from posts
  • RSS subscribers (if trackable)

Career Impact:

  • Posts referenced in job interviews
  • Connections made through content
  • Portfolio demonstration (showing technical writing)
  • Thought leadership establishment

Content Quality:

  • Clear, actionable insights
  • Technical accuracy
  • Professional presentation
  • SEO optimization

Content Creation Workflow

Planning (Week 1)

  1. Choose topic from calendar
  2. Research and outline
  3. Identify code examples/diagrams needed
  4. Set target length and tags

Writing (Week 2)

  1. Draft full content
  2. Add code snippets and examples
  3. Create/find supporting images
  4. Write compelling title and excerpt

Editing (Week 3)

  1. Review and revise
  2. Check technical accuracy
  3. Optimize for SEO
  4. Proofread for grammar/clarity

Publishing (Week 4)

  1. Add to /content/blog/
  2. Test locally
  3. Commit and deploy
  4. Share on social media
  5. Monitor engagement

Notes & Ideas

Post Topics to Explore:

  • Multi-agent coordination patterns
  • Context efficiency in AI systems
  • Real-world API integration challenges
  • Balancing senior experience with junior technical skills
  • The value of "learning in public"

Audience Development:

  • Engage with AI community on LinkedIn
  • Comment on related posts
  • Share others' content
  • Build genuine connections
  • Participate in relevant discussions

Content Repurposing:

  • LinkedIn posts → Blog deep-dives
  • Twitter threads → Full articles
  • Project documentation → Technical tutorials
  • Interview prep → Career insights

Last Updated: October 8, 2025 Review Frequency: Weekly Publishing Day: Typically Monday (best for LinkedIn engagement)