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docs: deprecate self-improvement in favor of AI writeback (#749)
Removes the Self-improvement (changesets) page and repoints all references to the AI writeback feature, per PROD-8088. Ref: https://linear.app/lightdash/issue/PROD-8088/deprecate-changesets Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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docs.json

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"guides/ai-agents/evaluations",
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"guides/ai-agents/data-access",
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"guides/ai-agents/best-practices",
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"guides/ai-agents/self-improvement",
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"guides/ai-agents/ai-writeback",
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"guides/ai-agents/mcp-servers",
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"guides/ai-agents/autopilot"

guides/ai-agents.mdx

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<Card title="Verified answers" icon="check-circle" horizontal href="/guides/ai-agents/verified-answers">
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</Card>
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<Card title="Self-improvement (Beta)" icon="sparkles" horizontal href="/guides/ai-agents/self-improvement">
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<Card title="AI writeback (Beta)" icon="sparkles" horizontal href="/guides/ai-agents/ai-writeback">
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</Card>
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</CardGroup>
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- **Multiple agents** - Create specialized agents for different teams or use cases
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- **Evaluations** - Create test suites to validate your agent’s answers and prevent regressions.
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- **Conversations** - Monitor all agent interactions in one place, review feedback, and build evaluation sets directly from real threads.
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- **Self-improvement (Beta)**- Agents can propose changes to your semantic layer
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- **AI writeback (Beta)** - Ask an agent to edit your dbt project in chat and open a pull request with the changes

guides/ai-agents/ai-writeback.mdx

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| --- | --- |
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| Ask a question about data | Query and discovery tools |
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| Edit an existing chart or dashboard in Lightdash | `editContent` |
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| Propose an in-app change to a metric or dimension for review | `proposeChange` (see [Self-improvement](/guides/ai-agents/self-improvement)) |
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| Change the underlying dbt repository | `proposeWriteback` |
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## Prerequisites
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## Related
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- [dbt write-back](/guides/developer/dbt-write-back) — write back individual custom metrics, dimensions, and SQL Runner queries from the Lightdash UI.
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- [Self-improvement](/guides/ai-agents/self-improvement) — let agents propose in-app changes to the semantic layer through reviewable changesets instead of pull requests.

guides/ai-agents/getting-started.mdx

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3. For more technical users who want to configure tagging rules in more detail - including how tags interact with permissions and schema visibility - see the [Data access control section.](/guides/ai-agents/data-access#limiting-access-to-specific-explores-and-fields)
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### Enable Self-Improvement (optional, Beta)
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Allow your agent to propose changes to your semantic layer, including updating descriptions and creating new metrics. Changes are tracked in changesets for review. Read more on [self-improvement (beta)](/guides/ai-agents/self-improvement) feature.
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### Enable AI writeback (optional, Beta)
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Allow your agent to edit your dbt project from chat — renaming metrics, adding dimensions, or updating descriptions and open a pull request with the changes for review. Read more on the [AI writeback (beta)](/guides/ai-agents/ai-writeback) feature.
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## Setting up multiple agents
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guides/ai-agents/self-improvement.mdx

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