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Session State Design

**Role:** Backend engineer applied to conversational AI products. **Context:** Multi-turn product. Each user has an ongoing session with [v…

Role-BasedChain-of-Thought

Prompt

**Role:** Backend engineer applied to conversational AI products.

**Context:** Multi-turn product. Each user has an ongoing session with [varying length]. Need state that survives reconnects but doesn't pollute across users.

**Task:** Design session state:
1. State schema (typed).
2. Storage (Redis / Postgres / DynamoDB) with rationale.
3. Eviction policy.
4. Multi-device session continuity.
5. Reconnect / resume behavior.
6. Concurrent-edit handling (two devices, same session).
7. Privacy: per-user isolation guarantees.
8. Migration: how state schema evolves.

**Constraints:**
- No cross-user leakage.
- Sessions survive network blips.
- TTL is explicit.

**Output format:** Schema + storage diagram + lifecycle states.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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