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Technical Reference Relaunch Plan (2026): AI, Agents, MCP, and Applied Engineering

A practical relaunch plan to modernise Technical Reference into an AI-first engineering publication.

Technical Reference relaunch cover

Current site review

  • Site is currently on a legacy Blogger layout (Awesome Inc. theme), with old structure and low scannability.
  • Most recent post is from December 2013.
  • Archive is valuable but outdated for current engineering and AI workflows.
  • Topic fit today should shift from ad hoc tips to systematic, production-grade AI engineering guidance.

New positioning

Technical Reference becomes:

"A practical AI engineering reference for builders: agents, MCP, frameworks, security, ethics, and production operations."

Target audience

  1. Engineers building AI-enabled products.
  2. Technical leads evaluating agentic architecture choices.
  3. Teams in regulated environments (including insurance).
  4. Makers shipping rapid prototypes and turning ideas into products.

Pillars (content architecture)

  1. AI Agents and MCP in production.
  2. Framework and stack comparisons.
  3. AI security and AI ethics for engineering teams.
  4. Vibe coding with guardrails.
  5. AI in insurance and regulated sectors.
  6. Productisation: from idea to deployable app.
  7. Trend intelligence and feature interpretation.

Label taxonomy to enforce

  • ai-agents
  • mcp
  • frameworks
  • ai-security
  • ai-ethics
  • vibe-coding
  • model-comparison
  • ai-trends
  • ai-insurance
  • idea-to-product

Publishing cadence (first 12 weeks)

  • 2 posts per week.
  • Tuesday: deep technical/how-to post.
  • Friday: strategic comparison, trend, or applied case post.

4-phase execution plan

Phase 1 (Week 1-2): Foundation

  1. Publish Start Here and Editorial Standards posts.
  2. Update theme and navigation.
  3. Define labels and archive strategy.
  4. Publish first 4 cornerstone posts.

Phase 2 (Week 3-6): Authority build

  1. Publish practical agent and MCP implementation guides.
  2. Add comparison frameworks and evaluation templates.
  3. Introduce security/ethics checklists.
  4. Add internal linking between every new post.

Phase 3 (Week 7-10): Differentiation

  1. Launch AI + Insurance series.
  2. Launch Idea -> Product series.
  3. Publish real implementation retrospectives.
  4. Add downloadable checklists.

Phase 4 (Week 11-12): Optimisation

  1. Review top posts by traffic and retention.
  2. Refresh winners with diagrams and templates.
  3. Expand into monthly trend brief format.
  4. Publish quarterly synthesis post.

Success metrics (first 90 days)

  1. 24 new posts published.
  2. 3 cornerstone series launched.
  3. 10 legacy posts refreshed or archived.
  4. 30%+ increase in organic sessions.
  5. Consistent returning readership on weekly cadence.

Current topic shortlist to start writing now

  1. AI Agents and MCP: architecture, protocol, and failure modes.
  2. Frameworks: LangGraph vs Semantic Kernel vs AutoGen style patterns.
  3. AI ethics and security in delivery pipelines.
  4. Vibe coding workflow with quality gates.
  5. Model comparison playbooks for real use cases.
  6. AI in insurance operations and underwriting support.
  7. From idea to production: minimal reliable AI app path.

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