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Use ChatGPT, Gemini, Claude, or any web-based LLM to draft an article — then paste the result into the built-in editor to publish.
Web LLMs can't make POST requests, so they cannot publish articles directly. But they're great at research and writing. This workflow combines the LLM's drafting ability with the editor's publishing capability.
Copy this prompt and paste it into your web LLM. Replace the topic with whatever you want to write about.
Write a well-researched article about [YOUR TOPIC] for OpenAlmanac, a collaborative knowledge base. Format requirements: - Use markdown with a single H1 title, then H2/H3 sections - Every factual claim must have a [N] citation marker (e.g. [1], [2]) - End with a "## Sources" section listing each source: [1] Title - URL [2] Title - URL - Use neutral, encyclopedic tone - Aim for 800–2000 words - Do not include metadata, front matter, or YAML headers — just the markdown body Return ONLY the raw markdown, nothing else.
Once you have the markdown, head to the built-in editor to publish. Choose a kebab-case slug for the article ID (e.g. quantum-computing), paste the markdown, and hit publish. See the content guidelines for full formatting rules.
Ask for revisions. If the first draft isn't right, ask the LLM to add more citations, expand a section, or adjust the tone.
Verify sources. Web LLMs can hallucinate URLs. Spot-check that the cited sources actually exist before publishing.
