Prepare the FLUID interface for HelixForge Telegram publishing
Adds the governing intent, the R-1 contract and descriptor, the adapter's connector contract, the observation and redaction configuration, a runbook, and the seed evidence for the first experiment: a measured pressure record and two competing hypotheses about how a long hall entry should reach a reader. The interface is declared at FLUID-2 deliberately. It publishes under HelixForge's name to an audience that did not consent to being experimented on carelessly, and the cost of a bad post is reputational rather than recoverable. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014KmVxhJ35tCo7rE7UnLwWu Assistant: claude-code Assistant-Model: opus Assistant-Process: 1116572@bnt-lap001 Assistant-Session: 8ba9bb93-a72a-4883-b189-2499cce5c400
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experiments/E-tg-length.yaml
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experiments/E-tg-length.yaml
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# The first live experiment: which presentation serves readers better.
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#
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# Do not start this until the private test channel has confirmed both forms
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# render correctly, and the public channel has enough subscribers for the
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# result to mean anything. The intent (section 12) is explicit that an
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# underpowered window should report INCONCLUSIVE rather than be shortened.
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#
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# fluid experiment design --file experiments/E-tg-length.yaml
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# fluid experiment start E-tg-length --generation 2 \
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# --default-revision R-2 --policy-out rp.json
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# fluid policy put --file rp.json
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fluid_experiment:
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schema_version: "0.1"
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id: "E-tg-length"
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interface_id: "helix-forge-telegram-publishing"
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hypothesis_refs:
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- "H-tg-teaser"
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- "H-tg-serial"
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# R-2 implements the teaser form, R-3 the serialized form. Neither is the
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# control in the usual sense: R-1 cannot publish a long entry at all, so
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# this is a comparison between two answers rather than against a baseline.
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control_revision: "R-2"
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candidate_revisions:
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- "R-3"
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cohorts:
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- "telegram-subscribers"
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allocation:
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control: 0.5
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candidate: 0.5
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# An even split because there is no incumbent to protect. The usual 90/10
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# caution exists to limit exposure to an unproven candidate; here both arms
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# are equally unproven and the scarce resource is entries, not safety.
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metrics:
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primary:
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- "read_through_rate"
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guardrails:
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- "entry_content_loss"
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- "error_rate"
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- "messages_per_entry"
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secondary:
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- "reaction_rate"
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- "forward_rate"
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learning:
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- "time_to_first_read"
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start_conditions:
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- "both revisions verified against the private test channel"
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- "channel has at least 100 subscribers"
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stop_conditions:
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- "hard_guardrail_violation"
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- "entry_content_loss"
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- "manual_stop"
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- "max_duration_reached"
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max_duration_hours: 2160 # 90 days: roughly 12 entries at current cadence
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result:
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state: "PLANNED"
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preferred_revision: null
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evidence_refs: []
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