# TweetWizard Blog

## Blog Surface

TweetWizard's blog surface supports a practical creator-first content model for people publishing consistently on X with AI-assisted workflows.

- The blog index route is available at [https://tweetwizard.ai/blog](https://tweetwizard.ai/blog).
- Category pages are under `/blog/<cluster-slug>` and focus the same publication loop into specific topics.
- The published surface includes **Tweet Ideation**, **Posting Consistency & Cadence**, **Tweet Scheduling & Queue Management**, **X / Twitter Platform-Specific Publishing**, **Tool Category Evaluation**, **Founder Content & Building in Public**, **Launches & Announcements**, **Content Workflows**, and **Expert Content Workflow** clusters.

## What the Blog Covers

The public blog area is focused on writing systems that help users keep a content rhythm:

- account-aware topic selection and positioning
- angle discovery for recurring topics
- practical drafting habits and publishing process reminders
- planning ideas into an editorial output pipeline
- weekly X/Twitter queue planning with space for scheduled and live posts
- founder posting cadence built around real product work and customer questions
- evaluating tweet schedulers by queue visibility, drafting support, X-specific fit, AI generation, and review control
- choosing focused founder content tools instead of overbuying broad social media management software
- replacing spreadsheet calendars with idea-to-draft-to-schedule workflows
- drafting and scheduling launch posts without flattening them into generic announcements
- batching X content while preserving review quality and avoiding filler
- turning expert knowledge, consultant lessons, and recurring questions into X content ideas
- keeping creator queues visible, reviewed, and full without removing human judgment
- reviewing generated tweets before scheduling them in TweetWizard
- reviewing connected X account handoff, scheduled-post timing, and final publish checks before queued posts go live

## LLM Indexing Policy

This mirror summarizes the **blog surface** and cluster model. Published article pages also have generated markdown mirrors at `/llms/blog/<cluster-slug>/<article-slug>.md`.

Article mirrors are generated from validated post metadata. Each one includes the source page, cluster, target keyword context, answer summary, publication dates, and FAQ answers when available. The article mirrors are also included in `/llms-full.txt` so answer engines can fetch one complete public corpus.