tegwick
53bb65e7a6
Assistant: codex Assistant-Model: gpt-6-astra Assistant-Session: 01a0e241-8285-7a63-8c0c-51c9cb824dc3
66 lines
4.1 KiB
Markdown
66 lines
4.1 KiB
Markdown
# Start with a frontend decision
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**0.1 research preview.** Seventeen candidate patterns, all hypotheses. Use them to
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make assumptions and trade-offs explicit; confirm the required contracts in your
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implementation. This language has not yet demonstrated improved decision quality.
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## Choose your starting problem
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| Your problem | Start here | What the sequence helps decide |
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| --- | --- | --- |
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| Users edit shared records; writes can conflict or lose their responses | [Transactional editing](sequences/TransactionalApplication.md) | Preserve intent, reject stale proposals, resolve uncertain outcomes, refresh views |
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| Users edit notes offline and must resume after restarting | [Offline local work](sequences/LocalFirstApplication.md) | Acknowledge local save, retain pending propagation, handle divergence, plan recovery |
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| You need navigation, rendering, feature or interaction guidance | [Extension candidates](reference/0.1/Catalog.md#extensions) | Explore individual hypotheses with their current evidence limits |
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| You need an overview of coverage | [Classification inventory](research/catalog/ClassificationCoverage.md) | Compare families, scales, responsibilities and selected forces |
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Before choosing, state who can accept the relevant change, which state must survive
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restart, and what the user is allowed to retain. A locally displayed result is not
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necessarily accepted. Where a view is computed is a separate decision from authority.
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If you cannot answer those questions, clarify them first. If you require globally
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exclusive approval while fully disconnected, neither sequence supplies that guarantee.
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A collaborative editor, hard real-time system or complete security architecture needs
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additional domain work; an unfilled catalog cell is not permission to improvise a
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validated solution.
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## Read the language as decisions
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A candidate explains a problem and forces, a proposed solution, its resulting context,
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alternatives and failure modes. Follow conditional links only when their assumptions
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hold. The eight [core candidates](reference/0.1/Catalog.md#core) connect into the two
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sequences; the other nine are extensions, not mandatory additions.
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[Transactional mappings](technologies/TransactionalRecovery.md) and
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[offline mappings](technologies/OfflineRecovery.md) locate implementation mechanisms.
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No listed product is certified to implement the whole proposed configuration.
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A short example: if an edit succeeds remotely but its response disappears, preserve
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its operation identity and treat the outcome as unknown. Find the result or use a
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verified bounded replay contract before creating another attempt. After acceptance,
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refresh observations separately; a refresh failure does not undo acceptance. Follow
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the [transactional sequence](sequences/TransactionalApplication.md) for assumptions
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and alternatives.
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## Evidence and future versions
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The [0.1 release record](reference/0.1/README.md) pins the corpus and lists supported
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contexts. [Evidence profiles](research/evolution/EvolutionReport.md) separate documents,
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code inspection and runtime observations. No candidate is canonically admitted; a
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source locator or passing fixture does not prove its full contract.
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For a counterexample, record the candidate ID, the context, expected versus observed
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behavior, implementation revision and any reproducible evidence. Explain whether a
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precondition was absent or the proposed solution failed despite it. Use the source or
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learning-cycle templates under `templates/`; proposed corrections require a named
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review with retained prior claims. Never paste private data or credentials into evidence.
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Later versions may revise, merge, split or retire candidates. Preserve identities and
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supersession records; do not silently reinterpret an older release. The language is
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intended to keep learning.
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## Agent reference
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Read [index.json](reference/0.1/index.json) for stable research identities, proposed
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relations, classification, evidence and gaps. It is a candidate reference export, not
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an admitted canonical graph. Read the linked contracts before making a recommendation;
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do not infer inverse edges, unconditional dependencies or transitive guarantees.
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