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Demo Vault

This is what your private memory looks like once you've saved a few conversations. Browse them, ask a question across all of them, and generate a portable Memory Pack.

📁 Project: Launch Plan Demo · 5 conversations

Saved conversations

Recall — ask across your memory

Sources
Session Starter PackGenerated from 5 conversations

Launch Plan — Memory Pack

Portable, cited context for continuing this work in any AI system.

Purpose

Continue planning the launch of a private-first AI memory product without rebuilding context.

Executive summary

Across five conversations the team settled pricing (usage-based with a generous free tier), positioning (private-first, not a public archive), and a build order that ships capture and recall before public publishing.

Decisions made

  • Free tier of 100 conversations to lower activation friction.Pricing strategy · 12–18
  • Position the product as “private-first” rather than a public archive.Landing page critique · 4–9
  • Build capture + recall first; public publishing comes later.Technical architecture · 22
  • Charge for advanced recall, pack generation, and agent usage.Pricing strategy · 24–30

Reusable prompts

  • “Critique this landing page for a private-first product. List the 3 weakest trust signals.”Landing page critique · 2
  • “Summarize these user interviews into 5 jobs-to-be-done.”User interview synthesis · 1

Open questions

  • What is the smallest free plan that stays sustainable on storage and LLM cost?
  • Do we support native ChatGPT/Claude export formats in v1, or only generic JSON?

Next actions

  • Draft the private-first landing page copy.
  • Spec the capture → recall flow for v1.

Source index

  • Pricing strategy — Claude · 2026-05-12
  • Landing page critique — ChatGPT · 2026-05-14
  • Technical architecture — Cursor · 2026-05-18
  • User interview synthesis — Gemini · 2026-05-20
  • Investor pitch — Claude · 2026-05-22

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