AI DIY Guide Generator
A workflow-specific diy guide workspace. 1,800-word target, 12 structurally enforced elements, post-generation source binding, and review-before-export. Built for teams that need finished deliverables.
What Gixo guarantees about every DIY Guide
These rules are encoded in the Gixo codebase and enforced for every generation — not best-effort suggestions in a prompt.
Structure
Project Introduction & Final Result Preview, Skill Level & Time Required, Complete Materials List with Costs, Tools Needed (Owned vs Buy/Rent), Preparation Steps, Main Build Process (Detailed Steps), Finishing Touches, Customization Options, Cost Breakdown, Maintenance Tips
Tone & voice
Enthusiastic, empowering, and practical · Active voice
Audience
DIY enthusiasts, crafters, makers, budget-conscious individuals, creative hobbyists.
SEO posture
Target 'DIY' and 'homemade' keywords, include cost comparisons, use structured data for materials lists.
Required structural elements
- H1 title
- Project preview photos
- Skill level indicator
- Time and cost estimates
- Shopping list format
- Tool alternatives
- Workspace setup
- Detailed build steps
Formatting preferences
- Materials checklist
- Step photos
- Cost breakdowns
- Time estimates
- Skill badges
- Tips bubbles
How a Gixo DIY Guide is built
Every generation passes through a deterministic 7-stage pipeline.
The publishing pipeline
- Plan — Token allocation, section count, structural completeness target.
GenerationPlanner.cs - Prompt — Style guide injected; tone, voice, SEO posture composed.
PromptBuilder.cs - Generate — Single AI provider call via routed model.
GenerationExecutor.cs - Tighten — Word-count enforcement, structural completeness check, brand compliance.
PostGenerationPipeline.cs - Bind sources — Claims extracted, web-searched, bound to verified sources.
EvidencePipeline.cs - Render — APA / MLA / Chicago / Harvard inline citations injected at export.
CitationHtmlRenderer.cs - Publish — Direct to WordPress, Ghost, Medium, or download as PDF / DOCX / PPTX / HTML / Markdown.
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