*(This context about Context is generated with Nessie - kind of circular, right?)*

A **context** is Nessie's core output — a structured, portable artifact synthesized from your AI conversations. It's what Nessie produces when it reads across everything you've discussed and distills it into something useful and shareable.

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## The One-Line Version

> You don't take notes in Nessie. You build **context packets** — reusable, shareable distillations of your thinking that you can send to people, plug into AI tools, or use to stay oriented on what you know and decided.

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## How Contexts Come to Be

Contexts are **generated on demand**. You ask Nessie a question or give it a topic — "draft my investor update," "what have I decided about our architecture," "summarize what I know about this candidate" — and Nessie synthesizes across every relevant conversation you've ever had, across every AI tool, to produce a structured result.

The raw conversations (from ChatGPT, Claude, Gemini, Perplexity, Claude Code, OpenClaw, and Nessie itself) are the **ground truth**. Contexts are generated from them, not from each other — so they never go stale by compounding old summaries.

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## What a Context Looks Like

A context is structured prose: typically a title, an emoji, headers, bullets, and narrative paragraphs. It looks like something a thoughtful person wrote — not a raw transcript dump. Real examples of what Nessie generates:

- **April Investor Update** — numbers, what actually happened this month, what you're worried about, what's next
- **Candidate Brief for Sarah** — background, why you're talking, what you've learned in prep conversations, open questions
- **Health Condition Summary** — what you've researched, what you're tracking, questions to bring to your next appointment
- **Competitive Analysis** — what you know about a competitor, where you're differentiated, unresolved questions
- **Founder Decision Log** — the reasoning behind a hard call, what you considered, what you decided

The common shape: **real stakes, visible reasoning, distilled from multiple conversations across multiple points in time.**


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## What You Can Do With a Context

Once generated, a context is **portable**:

- **Share it as a link** — send it to an investor, colleague, or doctor
- **Copy it into any AI tool** — paste it as context into a new ChatGPT or Claude conversation
- **Read and reflect** — many users treat contexts as a reading/reflection surface inside Nessie itself, not just an export
- **Edit it** — open a chat linked to the context and ask Nessie to update, expand, or revise it

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## Why "Context" and Not "Note"

The word *note* implies writing things down. The word *context* implies making things *usable*. In March 2026, Nessie formally dropped "notes" from its entire product vocabulary — every artifact became a "context" — because the strategic shift was from collecting information to **turning scattered thinking into things you can use and communicate**.

> *"Context alone isn't a product. What people struggle with is turning scattered thinking into ideas they can use and communicate."* — Nessie product direction, March 2026

The terminology shift codified the pivot from memory tool to context infrastructure.

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## Use Cases Across Domains

Contexts work across a wide range of use cases Nessie targets:

| Domain | Example Context |
| --- | --- |
| Founder / startup | Investor update, board prep, competitive analysis |
| Health | Condition summary, symptom log, questions for your doctor |
| Meetings & relationships | Pre-meeting brief, "what do I know about this person" |
| Research | Topic synthesis across months of AI conversations |
| Decisions | Decision log with reasoning, options considered, what you chose |
| Personal | Work rhythm patterns, journaling synthesis, what I've been thinking about |
