AI Long-Form Article Writer

Automated long-form content generation system that produces structured, SEO-optimized articles (1,500–5,000 words) — uses multi-stage GPT orchestration with outline generation, section-by-section drafting, coherence checking, and final editing passes. Includes a Jinja2 template engine for output formatting and keyword density optimization.

Built a multi-stage content generation pipeline that breaks article creation into discrete, orchestrated GPT calls rather than attempting to generate thousands of words in a single prompt (which degrades quality). Stage 1 — Research: takes a topic and generates a structured outline with H2/H3 heading hierarchy, estimated word counts per section, and key points to cover. Stage 2 — Drafting: iterates through each outline section, generating content with the full outline as context so each section builds on previous ones. Stage 3 — Coherence: a dedicated GPT call reads the complete draft and identifies logical gaps, repeated information, and weak transitions. Stage 4 — Editing: applies the coherence feedback, polishes prose, and ensures consistent tone throughout.

Implemented SEO optimization features: target keyword injection with configurable density (1.5%–2.5% of total word count), LSI keyword (Latent Semantic Indexing) generation using GPT to identify semantically related terms, meta description generation (155 chars), title tag optimization (60 chars), and readability scoring using the Flesch-Kincaid algorithm with automatic simplification if the score drops below the target grade level. Output formats include Markdown, HTML with semantic markup (<article>, <section>, <header>), and plain text via a Jinja2 template engine with customizable article templates.

The system architecture uses a Python CLI with Click for configuration: --topic, --tone (academic/conversational/technical), --word-count, --keywords, --output-format. Articles are generated in 2–4 minutes depending on length and revision depth. Internal evaluation showed that multi-stage articles scored 30% higher on coherence ratings compared to single-prompt generation at equivalent word counts, and passed AI detection tools at significantly lower rates due to the varied prompting and multi-pass editing approach.