Topic Clusters
This hub keeps the site scalable. New pages should not be exposed directly on the global navigation by default. They should enter one durable cluster first, then link outward to related implementation, comparison, cost, evaluation, and governance pages.
The purpose is simple: preserve topical authority as the site grows. Each cluster is built around a professional operating problem rather than a single model release, tool launch, or keyword variation.
How to use this hub
Section titled “How to use this hub”Start with the cluster that matches the decision you are actually trying to make. A reader comparing agent platforms should not begin with a model-pricing page. A team trying to control coding-agent edits should not start with a generic agent definition. The cluster page should give enough context to choose a route, then point to the deeper page that handles implementation, evaluation, procurement, or risk.
The cluster structure is intentionally strict. It helps avoid duplicate pages that say the same thing with slightly different titles, and it makes each new article prove where it belongs. When a page cannot name its parent cluster, its neighboring pages, and its reader outcome, it is usually too broad or too thin to publish.
Use the clusters this way:
| Reader question | Best starting cluster |
|---|---|
| How should we control coding-agent edits, PRs, approvals, and reviewer load? | Coding Agents |
| How should we use Codex desktop, worktrees, skills, plugins, automations, and visual QA? | OpenAI Codex Desktop |
| How do we make deep research trustworthy rather than merely long? | Deep Research |
| How do we expose tools to agents without over-granting permissions? | MCP Security |
| How do we buy or build agent platforms for an enterprise environment? | Enterprise Agent Platforms |
| How do we control model spend, service tiers, queues, and inference margin? | AI Cost and Compute |
| How do we release AI workflows with traces, scorecards, and regression checks? | EvalOps |
| How do we use AI in support without losing escalation quality or policy control? | Support AI |
Stable clusters
Section titled “Stable clusters”Publishing rule
Section titled “Publishing rule”Every new long-form page should answer three routing questions before publication:
- Which cluster owns the page?
- Which existing page is the canonical parent?
- Which neighboring pages should receive internal links from it?
If those answers are unclear, the page is probably too broad, too duplicative, or not ready to publish.
Cluster maintenance standard
Section titled “Cluster maintenance standard”| Maintenance question | Healthy answer | Action when weak |
|---|---|---|
| Does the page have a clear parent cluster? | The reader can move from hub to article without guessing. | Add or revise hub links before publishing more pages. |
| Does the page solve a different job than neighboring pages? | The distinction is visible in title, intro, tables, and next steps. | Merge, redirect, or deepen the weaker page instead of duplicating. |
| Does the cluster cover implementation, cost, evaluation, and risk? | The hub points to all major decision surfaces. | Add targeted pages only where a decision path is missing. |
| Are thin pages hidden by a larger library? | Short pages are strengthened or removed from promotion paths. | Improve the page before adding more adjacent content. |
| Can the reader act after browsing? | The next step is an audit, checklist, comparison, or implementation choice. | Add a concrete decision table or workflow route. |
What makes a cluster valuable
Section titled “What makes a cluster valuable”A cluster is not just a list of articles. It should give readers a stable mental model for a recurring AI operating problem. Good cluster pages connect definitions, implementation choices, cost tradeoffs, governance controls, evaluation methods, and failure modes. They also make it clear when a reader should stop browsing and act: run an audit, draft a policy, build an eval set, compare vendors, change routing, or tighten an approval boundary.
The site should keep adding pages only where they strengthen those paths. More pages are useful when they make a decision clearer. More pages are harmful when they create overlap, bury the stronger resource, or ask readers to compare several near-identical articles.