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Memories

Other tools ask you to “set your tone” with a dropdown. That’s not a voice — that’s a costume. Memories are different. They form a persistent knowledge base of your writing style, facts, opinions, stories, and preferred calls-to-action. Every piece of content DraftLift generates draws on this knowledge base. The output sounds like you because DraftLift actually knows who you are — not because you picked “professional” from a list.

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Memory categories

DraftLift organizes memories into six built-in categories:
Custom categories are available on Business+ tiers. Create your own categories to organize memories in ways that match your workflow.

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Creating a memory

  1. Navigate to Memories in the sidebar
  2. Click New Memory
  3. Choose a category
  4. Add a title and body
  5. Optionally add tags and platform targeting

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Make them specific

  • “I have a conversational writing style” is okay. “I write short paragraphs, use rhetorical questions to open posts, avoid em-dashes, and always end with a direct call-to-action” is much better.
  • One idea per memory. Keep memories focused so DraftLift has fine-grained control over what context to include.
  • Write in your natural voice. DraftLift learns from how you express ideas, not just the facts. If you write memories in corporate-speak, expect corporate-speak output.
  • Update as you evolve. Your opinions change. Your expertise deepens. Revisit memories regularly so your output stays current.

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Platform targeting

Tag memories for specific platforms to control where they apply. A memory tagged LinkedIn-only won’t appear in your X posts or blog articles. This matters when your tone shifts across platforms — professional and detailed on LinkedIn, casual and punchy on X, comprehensive for blog. Memories without platform tags are included everywhere.

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How memories are used in generation

When you generate content, DraftLift automatically includes all active memories as context. The AI weaves your perspective, facts, and style preferences into the output. You can also select specific memories for a particular generation — useful when you want to anchor a post around a specific case study or opinion. Platform-tagged memories are automatically filtered when the selected vessel matches that platform. LinkedIn memories stay in LinkedIn content. You don’t have to manage this manually.

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Learning from your edits

DraftLift tracks how you edit generated content — what you keep, what you change, and what you remove. Over time, this learning loop feeds back into future generations, progressively closing the gap between what the AI produces and what you actually publish. The more you use DraftLift, the less you edit. That’s the point.