Notes on visible AI conversations

Product thinking and practical patterns for branching AI conversations, model choice, local data, and desktop Agent mode.

PRODUCT · 6 MIN

Why branching chats need a map

A practical look at what disappears when alternatives live only in one transcript.

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WORKFLOW · 8 MIN

Continue, edit, or regenerate?

How each message-level action changes the shape of an AI conversation.

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MODELS · 7 MIN

Local models and visible context

Understanding what stays local and which other integrations still cross a boundary.

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DATA · 5 MIN

A backup is a product feature

Why local export, validation, and merge-safe restore matter for conversation data.

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CONTEXT · 4 MIN

Context across branches

Reduce repetition by referencing the exact node another path already established.

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PRACTICE · 9 MIN

Reading request logs

Use provider, model, duration, and token totals to understand recent requests.

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This remains a static index of real feature topics until a publishing backend is connected.

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