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SOMA Project Memory: Why Your AI Content System Never Repeats Itself

SOMA tracks topics covered, angles used, and total posts generated per project. Every new run starts with a full memory of what's already been said.

📅 May 17, 20261 min read

The Repetition Problem

Every AI content system has the same problem: run it twice and it generates the same posts.

Without memory, AI has no idea what you've already talked about. It defaults to the obvious angles every time.

SOMA solves this with Project Memory.

How Project Memory Works

Every SOMA project has a memory layer that tracks:

  • **Running summary** — rolling manager notes from Gemini (updated after every ingest)
  • **Topics covered** — a list of specific topics that have already been posted about
  • **Angles used** — the content angles and framings that have been deployed
  • **Total posts generated** — running count since project creation
  • Before every new content generation run, SOMA reads this memory and tells Gemini what NOT to repeat. The output is always fresh.

    The 500k Character Ingest

    SOMA can ingest documents up to **500,000 characters** — no truncation, no slicing. Your entire brand guide, product documentation, or content playbook gets analyzed in full.

    Diff Analysis

    When you re-ingest an updated document, SOMA runs Gemini diff analysis — comparing old and new versions to extract specifically what changed. The output is posts about what's new, not a rehash of what's old.

    Clear Memory for Fresh Start

    Want to start over? The project page has a "Clear Memory" button that resets everything. Use it when you pivot your brand direction or start a new campaign.

    [Set up a SOMA project at socialmate.studio/soma](https://socialmate.studio/soma)

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