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Editorial directory

Three tracks. One site. Much less orientation debt.

Instead of throwing you into a long archive, this page routes you into the three systems that define the site: AI product development, bug bounty automation, and neurodivergent systems design.

Total articles

55

Primary journeys

6

How to use this

Pick a journey, read the “start here” piece, then follow the path from the hub.

Cluster selector

What does each cluster route me into?

Each cluster is a guided entry point, not just a taxonomy label. Pick the one that matches the work you do today: AI visibility engineering, AI product development, or neurodivergent systems. The cornerstone read for each cluster sits at the top of its journey, with the supporting posts arranged in a recommended reading order beneath it.

Think Better with ADHD
3 pieces

Treat ADHD cognition like a systems design input, not a flaw to hide.

This track reframes parallel thinking, novelty seeking, abstraction, and chaos tolerance as engineering leverage, then turns them into practical workflow scaffolding.

Best for

ADHD and neurodivergent developers, designers, and founders

Reading depth

7 core essays and workflow guides

Start here

ADHD Productivity: The System I Built After GTD Failed Me

GTD doesn't work for ADHD brains. The energy-aware productivity system I built instead, hyperfocus scheduling, AI processing, and the workflow I use to ship.

Start, branch, continue Explore the track
Build with AI
14 pieces

Build AI products like systems, not demos.

This track covers Claude Code workflows, WebMCP agent interfaces, context management, evidence gates, RAG, and the operational decisions that move an AI idea into production.

Best for

builders, founders, and engineers shipping with AI

Reading depth

20 implementation notes, case studies, and security-automation architectures

Start here

Claude Code Best Practices 2026: A Field Guide

Field-tested Claude Code workflows from 36K lines of shipped production code: quality gates, multi-agent orchestration, and the patterns that actually work.

Start, branch, continue Explore the track
AI Visibility Engineering
8 pieces

SEO optimizes for rank. Answer engines optimize for citation-worthiness.

This track is the engineering playbook for the second game: entity coherence, schema specificity, originality signals, and the measurement loops that show whether ChatGPT, Perplexity, and Google AI Overviews are actually citing you.

Best for

content engineers and sub-DR-20 operators engineering for AI citations

Reading depth

16 foundational, tactical, and case-study notes

Start here

Answer Engine Optimization: 6 Factors That Decide If AI Cites You

Answer engine optimization (AEO) determines which sites AI search engines cite. The 6 factors driving citations in Perplexity, ChatGPT, and Google AI Overview.

Start, branch, continue Explore the track
Quantitative Trading Systems
4 pieces

Production trading systems under real market constraints.

Prediction-market automation, postmortems, and the operational math behind live trading systems.

Best for

quantitative builders and trading-system operators

Reading depth

7 posts

Start here

I Built a Polymarket Arbitrage Bot in 2 Hours. It Found Real Gaps.

Build a Polymarket arbitrage bot: capture price gaps between Binance and CLOB in milliseconds. Full code walkthrough from WebSocket to execution.

Start, branch, continue Explore the track
Python Agent Infrastructure
3 pieces

Deploy agents on infrastructure you actually control.

VPS setup, systemd process management, and the operational patterns that keep Python agents running 24/7 for $6/month.

Best for

Python developers deploying bots, agents, and automation

Reading depth

3 posts and growing

Start here

I Run Python Agents on a $6/Month DigitalOcean Droplet

Deploy Python agents on DigitalOcean for $6/month. Skip serverless complexity, avoid setup gotchas, run async bots reliably.

Start, branch, continue Explore the track
Agent Readiness
0 pieces

Make sites that AI agents can read, recommend, and transact with.

Implementation patterns for WebMCP registerTool, MCP server design, ACP-compatible payment surfaces, and the schema infrastructure that makes agent-readable sites also agent-actionable.

Best for

builders shipping agent-actionable websites and SaaS surfaces

Reading depth

5 implementation guides (rolling out May to July 2026)

Start, branch, continue Explore the track

Best for

Think Better with ADHD

ADHD and neurodivergent developers, designers, and founders

Start with ADHD Productivity: The System I Built After GTD Failed Me

Best for

Build with AI

builders, founders, and engineers shipping with AI

Start with Claude Code Best Practices 2026: A Field Guide

Best for

AI Visibility Engineering

content engineers and sub-DR-20 operators engineering for AI citations

Start with Answer Engine Optimization: 6 Factors That Decide If AI Cites You

Best for

Quantitative Trading Systems

quantitative builders and trading-system operators

Start with I Built a Polymarket Arbitrage Bot in 2 Hours. It Found Real Gaps.

Best for

Python Agent Infrastructure

Python developers deploying bots, agents, and automation

Start with I Run Python Agents on a $6/Month DigitalOcean Droplet

Best for

Agent Readiness

builders shipping agent-actionable websites and SaaS surfaces

All tags

Where do the long-tail tags live?

The long-tail tag taxonomy still exists for readers who prefer filter-and-search over guided journeys. The tag list below is the residual filter surface; it no longer leads the experience but it remains complete. Tap any tag to land on its filtered archive view inside the blog.

claude-code (22)ai (20)automation (12)ai-visibility (9)ai-building (7)geo (6)workflow (6)aeo (5)seo (5)python (5)trading (5)productivity (5)builder (4)avr-framework (4)adhd (4)polymarket (4)tutorial (4)ai-agents (3)agent-harness (3)case-study (3)plan-quota (3)content-optimization (3)claude-fable-5 (2)agents (2)ai-crawlers (2)geo-seo (2)audit (2)orchestration (2)mcp (2)agentic-systems (2)hooks (2)multi-agent (2)schema (2)perplexity (2)chatgpt (2)ai-tools (2)bug-bounty (2)security (2)rag (2)philosophy (2)saas (2)startup (2)debugging (2)position-sizing (2)claude-fable-5-vs-opus-4-8 (1)claude-opus-4-8 (1)model-routing (1)ai-benchmarks (1)fable-5 (1)is-claude-nerfed (1)claude-nerfed (1)anthropic (1)devops (1)git (1)robots-txt (1)content-intent (1)cloudflare-radar (1)agent-architecture (1)subagents (1)content-sop (1)working-memory (1)externalization (1)content-pipeline (1)second-brain (1)codex-os (1)convex (1)decision-ledger (1)bud (1)mark-50 (1)entity-seo (1)knowledge-graph (1)sameas (1)ai-economics (1)tuning (1)subscription-pricing (1)side-projects (1)sunk-cost (1)solo-operator (1)kill-criteria (1)honest-failure (1)falsifiability (1)wikidata (1)entity-engineering (1)ai-workflows (1)citation-mechanics (1)entity-graph (1)schema-org (1)structured-data (1)domain-authority (1)developer-productivity (1)infrastructure (1)deployment (1)digitalocean (1)algorithmic-trading (1)trading-bot (1)production (1)ai-coding-tools (1)cursor (1)github-copilot (1)comparison (1)ai-engineering (1)webmcp (1)sveltekit (1)navigator-modelcontext (1)openclaw (1)agentic-seo (1)content-creation (1)developer-tools (1)devto (1)zapier (1)cross-posting (1)future (1)software-development (1)pricing (1)strategy (1)business (1)microsaas (1)pdf (1)serverless (1)vercel (1)nodejs (1)neurodivergent (1)distributed-systems (1)architecture (1)systems-design (1)quality (1)verification (1)context (1)quality-control (1)tokens (1)optimization (1)websocket (1)binance (1)math (1)kelly-criterion (1)llms.txt (1)robots.txt (1)notion (1)search-engines (1)llm (1)

Frequently asked questions

Four questions that come up before someone commits to a journey on this site. The short answers live here; the deeper ones live in the cornerstone post each journey pins at the top.

How do I pick the right journey for my work?

Pick AI visibility engineering if you are publishing content and want AI engines to cite you. Pick AI product development if you are building agent-facing systems or shipping production AI features. Pick neurodivergent systems if you want metacognition pieces that pair with the technical work and explain how to scaffold ADHD cognition for engineering output.

What is a cornerstone read?

The cornerstone is the load-bearing essay each journey is built around. It answers the canonical question for that journey end to end and ties together the supporting posts in the same cluster. Read the cornerstone first to get the full argument, then dip into supporting posts for depth on a specific sub-topic.

Where do I find newer posts that have not been added to a journey yet?

The full archive lives at /blog, organized newest-first beneath the three journey clusters. New posts get a journey assignment as part of publishing; the residual archive section captures anything outside the three primary journeys.

How can I subscribe to a single journey instead of the whole newsletter?

The current weekly newsletter sends a digest of all three journeys. A per-journey subscription option is on the roadmap but not yet shipped. LinkedIn at LinkedIn is the primary channel for new posts; tag-specific filtering is available via the /blog page's filter UI.