Content Strategy & Production Roadmap

Agentic Engineering Coaching Business

Executive Summary

Comprehensive content strategy designed to establish Christopher Royse as the leading authority on AI-augmented software development while driving consistent lead generation to reach 10,000+ engaged followers within 6 months.

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Content Strategy Framework

Content Pillars & Distribution (Weekly Output)

1. EDUCATIONAL CONTENT (40% - 6 pieces/week)

Objective: Teach practical AI integration skills Formats: Blog posts, tutorials, video walkthroughs, code examples

Monday: Deep-dive tutorial (2000-3000 words + video) Wednesday: Quick tips and tricks (500-800 words + short video) Friday: Tool comparison and review (1500-2000 words) Daily: Code snippet shares on social media

2. THOUGHT LEADERSHIP (30% - 4 pieces/week)

Objective: Position Christopher as industry visionary Formats: Analysis articles, trend predictions, research breakdowns

Tuesday: Industry analysis and trends (1500-2500 words) Thursday: Research paper breakdown (1000-1500 words + video) Weekly: Future prediction thread on Twitter/X Monthly: Long-form vision piece (3000-5000 words)

3. PRACTICAL DEMONSTRATIONS (20% - 3 pieces/week)

Objective: Show real-world AI impact and ROI Formats: Live coding, case studies, before/after showcases

Live Coding: Weekly 1-hour stream (Wednesdays) Case Studies: Bi-weekly success story (1500-2000 words) Demo Videos: Weekly tool demonstration (10-15 minutes)

4. COMMUNITY & ENGAGEMENT (10% - 2 pieces/week)

Objective: Build community and foster engagement Formats: Q&A sessions, student spotlights, behind-the-scenes

Weekly Q&A: Friday community session (30 minutes) Monthly: Student success spotlight (800-1200 words) Behind-the-scenes: Weekly progress updates and insights

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Channel-Specific Content Strategy

Blog Strategy (Primary Authority Hub)

Publishing Schedule: 3 comprehensive posts per week SEO Focus: Target 50+ high-value keywords

Content Calendar Template:

Monday - Tutorial Monday

• "How to Build Your First AI Code Review Agent"
• "Setting Up Multi-Agent Development Workflows"
• "Debugging with AI: A Complete Guide"

Wednesday - Insight Wednesday

• "The Future of Software Engineering in the AI Era"
• "Why Traditional Code Reviews Are Becoming Obsolete"
• "5 AI Tools Every Developer Should Master in 2025"

Friday - Feature Friday

• "Claude vs GPT-4 for Code Generation: Complete Comparison"
• "Cursor vs GitHub Copilot: Which AI IDE is Right for You?"
• "The Ultimate AI Developer Toolkit for 2025"

SEO Keyword Strategy:

Primary Keywords (High Volume, Medium Competition):

• "AI coding assistant" (18K monthly searches)
• "AI software development" (12K monthly searches)
• "Automated code review" (8K monthly searches)
• "AI debugging tools" (6K monthly searches)

Long-tail Keywords (Lower Volume, Lower Competition):

• "How to integrate AI agents in development workflow" (2K searches)
• "Best AI tools for software engineers 2025" (3K searches)
• "AI-powered code optimization techniques" (1.5K searches)

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YouTube Strategy (Visual Learning Platform)

Publishing Schedule: 3 videos per week + 1 live stream Channel Goal: 25,000 subscribers in 6 months

Content Types:

1. Educational Tutorials (40%)

• 15-25 minute deep-dive tutorials
• Step-by-step implementation guides
• Screen recordings with clear explanations

Example Series:

• "AI Agents Masterclass" (12-part series)
• "Debugging with AI" (8-part series)
• "Code Review Automation" (6-part series)

2. Tool Reviews & Comparisons (30%)

• 10-15 minute comprehensive reviews
• Head-to-head tool comparisons
• Cost-benefit analyses

Weekly Format: "Tool Tuesday" - New AI development tool review

3. Live Coding Streams (20%)

• Weekly 1-2 hour live coding sessions
• Real-time problem solving
• Community interaction and Q&A

Streaming Schedule: Wednesdays 2-4 PM EST

4. Short-form Content (10%)

• 60-second quick tips
• Before/after productivity demos
• Tool highlights and shortcuts

Optimization Strategy:

• Custom thumbnails with consistent branding
• SEO-optimized titles and descriptions
• End screens promoting course enrollment
• Community tab for engagement between videos

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Social Media Strategy

LinkedIn (B2B Professional Network)

Posting Schedule: 5 posts per week Content Mix: 60% educational, 30% thought leadership, 10% personal

Daily Content Types:

• Monday: Industry insight or trend analysis
• Tuesday: Educational post with actionable tips
• Wednesday: Live stream promotion and highlights
• Thursday: Tool review or comparison
• Friday: Weekly roundup and community engagement

Content Formats:

• Native video posts (highest engagement)
• Carousel posts with step-by-step guides
• Poll posts for community engagement
• Article shares with personal commentary

Twitter/X (Real-time Engagement)

Posting Schedule: 3-5 posts daily + weekly thread Content Mix: 50% quick tips, 30% industry commentary, 20% community

Daily Content Strategy:

• Morning: Motivational or inspirational content
• Midday: Technical tips or tools
• Evening: Industry news commentary
• Weekly: Long-form thread on trending topic

Thread Topics:

• "10 AI Coding Hacks That Will 10x Your Productivity"
• "The Evolution of Software Development: 2020 vs 2025"
• "Building Your First AI Agent: A Step-by-Step Thread"

GitHub (Developer Community)

Strategy: Open source contributions and code sharing Content: Templates, examples, and utility tools

Repository Strategy:

• AI Agent Templates Repository
• Code Review Automation Tools
• Development Workflow Examples
• Tutorial Code Samples

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Lead Generation Content Strategy

Free Lead Magnets (Conversion Focused)

1. "The Complete AI Developer Toolkit"

Format: PDF Guide + Resource Library Value: $297 worth of tools and templates Landing Page: Dedicated opt-in with email capture

Contents:

• 50+ AI tool comparison matrix
• 25 prompt templates for development
• Setup guides for 10 essential tools
• ROI calculator spreadsheet

2. "7-Day Agentic Engineering Challenge"

Format: Email course + daily tasks Value: Hands-on transformation experience Conversion: 15% to paid courses

Daily Challenges:

• Day 1: Set up your first AI agent
• Day 2: Automate code reviews
• Day 3: Build debugging assistant
• Day 4: Create documentation generator
• Day 5: Implement testing automation
• Day 6: Optimize performance with AI
• Day 7: Plan your agentic workflow

3. "Prompt Engineering Cheat Sheet"

Format: Visual reference guide + examples Value: Quick reference for daily use Distribution: Social media and blog opt-ins

4. "AI Tool ROI Calculator"

Format: Interactive spreadsheet tool Value: Quantify productivity gains Use Case: Enterprise decision makers

5. Mini-Course: "Your First AI Agent in 30 Minutes"

Format: Video series + workbook Value: Complete beginner transformation Funnel: Direct path to paid courses

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Editorial Calendar (First 90 Days)

Month 1: Foundation Building (Weeks 1-4)

Week 1: Launch Week

Monday: "Welcome to the Future of Software Development" (Blog + Video) Tuesday: "Why Every Developer Needs AI Agents" (LinkedIn Article) Wednesday: First Live Coding Stream - "Building Your First AI Agent" Thursday: "The AI Tools Landscape in 2025" (Blog Post) Friday: "AI Developer Toolkit" Lead Magnet Launch

Week 2: Educational Focus

Monday: "Step-by-Step: Setting Up Claude for Development" (Tutorial) Tuesday: Industry analysis thread on Twitter/X Wednesday: Live Stream - "Debugging with AI Agents" Thursday: "GitHub Copilot vs Cursor: The Ultimate Comparison" (Blog) Friday: Community Q&A - "Your AI Questions Answered"

Week 3: Thought Leadership

Monday: "The Death of Traditional Code Reviews" (Controversial take) Tuesday: LinkedIn post - "3 Productivity Gains I've Seen with AI" Wednesday: Live Stream - "Advanced Prompt Engineering" Thursday: "Research Breakdown: Latest AI Developments" (Blog) Friday: "7-Day Agentic Challenge" Launch

Week 4: Community Building

Monday: "How AI Agents Saved Me 20 Hours This Week" (Case Study) Tuesday: Tool comparison carousel on LinkedIn Wednesday: Live Stream - "Community Choice: Tool Deep Dive" Thursday: "Building an AI-First Development Team" (Blog) Friday: Month 1 roundup and preview

Month 2: Authority Building (Weeks 5-8)

Focus Areas:

• Guest posting campaign launch
• Podcast appearance strategy
• Speaking engagement applications
• Community growth initiatives

Week 5: Guest Content Push

Monday: Guest post on Dev.to - "AI Agents for Code Review" Tuesday: Podcast interview on "Developer Experience Today" Wednesday: Live Stream - "Q4 AI Tool Roundup" Thursday: "The Economics of AI-Assisted Development" (Blog) Friday: HackerNoon submission - "Future of Programming"

Week 6: Video Content Ramp-up

Monday: "Complete Guide to Multi-Agent Workflows" (Long-form video) Tuesday: LinkedIn video - "60-Second AI Tip" Wednesday: Live Stream - "Building Custom AI Agents" Thursday: "Measuring AI Productivity Gains" (Blog + Calculator) Friday: YouTube Shorts series launch

Week 7: Community Challenges

Monday: "AI Agent Challenge Week" announcement Tuesday: Daily challenge updates on social media
Wednesday: Live Stream - "Challenge Solutions Walkthrough" Thursday: "Community Success Stories" (Blog compilation) Friday: Challenge winner announcement and prizes

Week 8: Speaking & Partnerships

Monday: Conference speaking application submissions Tuesday: Partnership outreach to AI tool companies Wednesday: Live Stream - "Building Your AI Tool Stack" Thursday: "The Business Case for AI Development" (Enterprise focus) Friday: Month 2 metrics review and Month 3 preview

Month 3: Community Growth (Weeks 9-12)

Focus Areas:

• User-generated content campaigns
• Community challenges and contests
• Advanced content for existing audience
• Email list monetization start

Week 9: User-Generated Content

Monday: "Show Us Your AI Workflow" contest launch Tuesday: Repost community submissions with commentary Wednesday: Live Stream - "Community Workflow Reviews" Thursday: "Advanced Debugging Techniques" (Blog) Friday: Feature top community submissions

Week 10: Advanced Content

Monday: "Enterprise AI Integration Strategy" (Advanced guide) Tuesday: LinkedIn article - "Leading AI Transformation" Wednesday: Live Stream - "Advanced Agent Orchestration" Thursday: "The Philosophy of Agentic Engineering" (Thought piece) Friday: Expert interview with industry leader

Week 11: Monetization Preparation

Monday: "Why I'm Creating an AI Development Course" (Personal story) Tuesday: Course curriculum preview on social media Wednesday: Live Stream - "Course Q&A and Early Bird Announcement" Thursday: "The ROI of AI Education" (Value justification) Friday: Early bird course launch (soft launch)

Week 12: Evaluation & Planning

Monday: "3 Months of AI Content: What I've Learned" (Reflection) Tuesday: Community feedback survey launch Wednesday: Live Stream - "Year-End Predictions for AI Development" Thursday: "2025 AI Development Roadmap" (Blog) Friday: Q4 strategy announcement

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Content Production Workflow

Team Structure & Responsibilities

Content Creator (Christopher Royse)

• Time Investment: 15-20 hours per week
• Responsibilities: Strategy, video creation, live streams, high-value content
• Content Types: Thought leadership, live coding, expert interviews

Content Manager/Editor

• Time Investment: 20-25 hours per week
• Responsibilities: Editing, scheduling, SEO optimization, repurposing
• Skills: Video editing, copywriting, social media management

Community Manager

• Time Investment: 10-15 hours per week
• Responsibilities: Social engagement, comment management, community growth
• Skills: Community building, customer service, content curation

Production Schedule

Weekly Routine:

Sunday: Week planning and content calendar review Monday: Blog post writing and video recording Tuesday: Social media content creation and scheduling Wednesday: Live stream preparation and execution Thursday: Content editing and optimization Friday: Community engagement and week wrap-up Saturday: Content planning for following week

Monthly Routine:

• Week 1: New content series planning
• Week 2: Guest content and collaborations
• Week 3: Community challenges and engagement
• Week 4: Analysis, optimization, and next month planning

Content Repurposing Strategy

From Long-form Content:

Blog Post (2000 words) →

• 5-7 social media posts
• Email newsletter section
• Podcast episode outline
• Video script foundation
• LinkedIn article adaptation

Video Tutorial (20 minutes) →

• 3-5 short clips for social media
• Blog post adaptation
• Email newsletter content
• Podcast episode material
• GitHub code examples

Live Stream (60 minutes) →

• 10-15 highlight clips
• FAQ blog post
• Social media content for 2 weeks
• Email newsletter series
• Course module content

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Metrics & Success Measurement

Traffic & Engagement Metrics

Blog Performance:

• Target: 25,000 monthly page views by Month 6
• Engagement: 3+ minute average session time
• SEO: Top 10 rankings for 15+ target keywords
• Conversions: 5% email opt-in rate

YouTube Growth:

• Subscribers: 25,000 by Month 6
• Watch Time: 4,000+ hours monthly
• Engagement: 8%+ average engagement rate
• Conversions: 2% course enrollment rate

Social Media Growth:

• LinkedIn: 10,000+ connections, 15,000+ followers
• Twitter/X: 15,000+ followers, 500+ impressions per post
• GitHub: 2,000+ followers, 50+ stars on repositories
• Combined: 40,000+ total social media reach

Email Marketing:

• List Growth: 5,000+ subscribers by Month 6
• Open Rate: 35%+ (industry average: 25%)
• Click Rate: 8%+ (industry average: 3.5%)
• Conversion Rate: 3%+ to paid courses

Lead Generation Metrics

Lead Magnets Performance:

• AI Developer Toolkit: 500+ downloads monthly
• 7-Day Challenge: 200+ participants monthly
• Prompt Cheat Sheet: 300+ downloads monthly
• ROI Calculator: 150+ downloads monthly
• Mini-Course: 100+ completions monthly

Conversion Funnel:

• Website Visitors: 25,000 monthly
• Email Subscribers: 5,000+ (20% conversion)
• Course Inquiries: 150+ monthly (3% of subscribers)
• Paid Enrollments: 50+ monthly (33% of inquiries)

Revenue Attribution:

• Content Marketing: 60% of customer acquisition
• Social Media: 25% of customer acquisition
• Email Marketing: 10% of customer acquisition
• Referrals: 5% of customer acquisition

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Risk Mitigation & Contingency Planning

Content Production Risks

Capacity Limitations:

• Risk: Christopher becomes bottleneck for content creation
• Mitigation: Train content team on Christopher's voice and style
• Backup: Develop content templates and frameworks for delegation

Algorithm Changes:

• Risk: Platform algorithm updates reduce organic reach
• Mitigation: Diversify across multiple platforms and channels
• Backup: Invest in paid promotion and email list growth

Competition Response:

• Risk: Competitors copy content strategy or messaging
• Mitigation: Focus on unique insights and proprietary frameworks
• Backup: Emphasize community and personal brand differentiation

Market Risks

AI Tool Evolution:

• Risk: New AI tools make current content outdated
• Mitigation: Focus on principles over specific tools
• Backup: Develop rapid content update and refresh processes

Economic Downturn:

• Risk: Reduced training budgets and course enrollments
• Mitigation: Emphasize ROI and productivity gains
• Backup: Develop more affordable content tiers and options

Industry Saturation:

• Risk: AI development education market becomes crowded
• Mitigation: Build strong community and network effects
• Backup: Expand into adjacent markets and specializations

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Implementation Timeline & Next Steps

Phase 1 (Months 1-2): Foundation

• Set up content production infrastructure
• Launch lead magnets and email sequences
• Establish consistent publishing schedule
• Begin community building efforts

Phase 2 (Months 3-4): Growth

• Launch guest content and partnership campaigns
• Scale video content production
• Implement advanced SEO strategies
• Optimize conversion funnels

Phase 3 (Months 5-6): Optimization

• Analyze performance and optimize top content
• Launch paid promotion campaigns
• Develop premium content offerings
• Prepare for course launch integration

Success Metrics Dashboard:

• Content Production: Publishing consistency and quality
• Audience Growth: Followers, subscribers, email list size
• Engagement: Comments, shares, time on site, video completion
• Conversions: Email opt-ins, course inquiries, paid enrollments
• Revenue Attribution: Content-driven revenue and customer acquisition

This comprehensive content strategy positions Christopher Royse for rapid authority building and sustainable lead generation while creating a scalable content production system that supports long-term business growth.