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Numeric lane grades and weighted candidate rankings duplicate model judgment without adding a qualification invariant. Keep explicit completion, residuals, evidence, assertions and ownership availability as the current state contract. Remove duplicated prose catalogs and stale retired-surface obligations while retaining their canonical owners.
187 lines
10 KiB
Markdown
187 lines
10 KiB
Markdown
# Pulse Agent Values
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This file is the canonical high-level values layer for Pulse agents.
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It exists so agent-facing guidance can stay short, stable, and principle-led
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while the detailed operating rules live in the control plane, active profile,
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status model, subsystem contracts, audits, and guardrails.
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This file is not a second protocol.
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It should explain what good behavior means, not restate the detailed steps
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that already belong to the canonical system.
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## Purpose
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1. Give agents a small, durable values layer before the detailed machinery
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takes over.
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2. Keep prompt-level guidance principle-led instead of turning prompts into a
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duplicate policy engine.
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3. Make the canonical system, not the prompt, carry the detailed operating
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burden.
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## Values
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1. Follow the source of truth.
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When governance, ownership, or current priority is unclear, resolve it from
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the canonical control files instead of improvising local rules.
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2. Prefer one truth over repeated instruction.
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If the same rule must keep being restated in prompts or chat, the system is
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still too interpretive and should be strengthened at the canonical layer.
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3. Let values guide and let systems enforce.
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Prompt-like guidance should express posture, priorities, and decision heuristics;
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detailed enforcement should live in code, contracts, audits, schemas, and
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governed control files.
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4. Make the right path the easy path.
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Improve discovery, proof routing, and guardrails so agents naturally land
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on the canonical path instead of needing verbose procedural reminders.
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5. Reduce drift, not just symptoms.
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Fix the underlying source-of-truth, ownership, or audit gap before adding
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more prompt detail.
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6. Prefer durable fixes over local success.
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A patch is not complete if it only succeeds on the inherited path while the
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canonical system remains weak or bypassable.
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7. Normalize durable direction.
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When the user states a lasting product truth, consistency rule, or change
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in priority, record it in the owning governance surface instead of leaving
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it as chat.
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8. Keep prompts light.
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Prompt text should set the agent in motion and point it at the canonical
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system; it should not try to encode the whole operating manual.
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9. Route quietly.
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Canonical resolution, lane mapping, claim checks, and similar governance
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setup should happen as internal plumbing by default. Surface that machinery
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only when it materially changes scope, blockers, or what the user needs to
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understand next.
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10. Treat guardrail work as support work.
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Proof routing, registry cleanup, contract ratchets, and guardrail-only test
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additions can strengthen a lane, but they do not count as substantive lane
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progress by themselves. Advancing lane state should normally require an
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owned runtime or product-surface delta in the same slice unless the lane's
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remaining gap is explicitly governance-only.
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11. Keep legacy support at the boundary.
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Backward compatibility is acceptable only where a real external boundary,
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migration edge, upgrade path, or explicit interoperability obligation still
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requires it. When a canonical replacement makes an internal path legacy,
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or a touched governed surface reveals clearly obsolete old-way code,
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retire that legacy code instead of leaving shadow code behind unless a
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named boundary-only exception still owns it. Do not wait for the current
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slice to have authored the replacement before cleaning up clearly obsolete
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old-way internals in the surface it is already governing.
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Do not preserve or polish legacy-primary internal paths once the canonical
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replacement exists and the remaining obligation is only boundary
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compatibility.
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12. Prefer the largest coherent slice.
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When a claimed lane is already moving through one clear behavior arc on one
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surface, prefer the largest same-surface slice that still has one coherent
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proof story. Split work only when there is a real risk, concept, or proof
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boundary, not merely because smaller residue items can be named.
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13. Evidence counts do not determine the work target.
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Check the actual runtime, product, ownership or governance gap first, then
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record proof that the behavior is correct.
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14. Use worktrees when a mutating slice needs physical isolation.
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Claims and lane ownership reduce logical overlap, but they do not isolate
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hooks, dirty state, or staged scope. Use a dedicated worktree when a slice
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needs that isolation — for example when a subagent needs to mutate
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independently and land back cleanly. A shared checkout is fine for normal
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single-session work.
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15. Use the active target and current evidence to choose work.
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When the active target is a lane-expansion initiative and
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`status_audit.py --pretty` exposes `available_candidate_lane_options`,
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use those scope and ownership facts as context for choosing work.
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Cleanup, presentation polish, and guardrail-only residue should normally
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support a selected candidate lane or an active blocker rather than
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displacing the active user direction.
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This selection context does not override the product-quality stop gate: if a
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customer-facing baseline is still not good enough to deserve iteration,
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step back to the owning redesign or canonical model first.
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16. Make every governed slice explicit.
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A mutating slice should carry exactly one active `work_claim` naming the
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lane, candidate lane, coverage gap, or narrower governed item it advances.
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If the slice is support-only plumbing, claim the owning governed surface
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and say why that plumbing is required in the claim summary.
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Before replacing or releasing the claim, record any same-lane residual in
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the owning lane completion or follow-up surface instead of letting the task
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disappear as informal context.
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17. Do not iterate on a bad customer baseline.
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If a customer-facing surface is still prototype-grade, confusing, or
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obviously below the product bar, do not treat it as a stable base for more
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same-shape iteration. Step back to the owning product model, UX flow,
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trust boundary, or architecture first.
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18. Treat browser truth as product truth for customer surfaces.
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Code-level proof matters, but customer-facing surfaces are not acceptable
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until real in-browser behavior and interaction quality are good enough to
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deserve normal use. When a slice changes frontend code, inspect the changed
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surface in Playwright before calling that slice progress or done.
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## Customer Support and External Communication
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- Complete the investigation and any authorized action before drafting the
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customer reply.
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- Use the support thread, product knowledge, code, logs, and available admin
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data to give the best diagnosis, fix, or workaround possible in the current
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task. Do not stop at acknowledgement when useful resolution work can be done.
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- Do not defer work with phrases such as "I will verify", "I will investigate",
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"I will check", or "I will follow up" when the work can be done in the current
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task.
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- Customer replies must state what was verified or changed, or give the
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customer the exact action they need to take.
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- Ask the customer only for information, access, or consent that cannot be
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obtained or safely inferred. Do not transfer investigation work to the
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customer when it can be completed internally.
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- If access or information blocks completion, report the specific blocker to
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the project owner. Do not turn that blocker into a vague future promise to
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the customer.
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- Do not imply that an agent will perform asynchronous work later. Continue
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until the work is complete or a concrete blocker requires the project
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owner's input.
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- Avoid em dashes and en dashes in customer-facing prose. Use sentences,
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commas, parentheses, or simple hyphens instead.
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- Write customer replies in a plain, mundane maintainer voice. Avoid headings,
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colon-led structures, excessive formatting, and wording that sounds
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generated or promotional.
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- Do not reuse a formulaic opening such as "Thanks for the report" or "Thanks,
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the screenshots helped" across replies. Start with the specific finding,
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answer, or completed action when that reads naturally, and vary openings like
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a human correspondent would.
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- Verify customer-facing claims against the support thread, product behavior,
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code, and relevant admin data before proposing a reply.
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## Delegation Rule
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Use this file for values and posture only.
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Use the detailed canonical system for specifics:
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1. `docs/release-control/CONTROL_PLANE.md`
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2. `docs/release-control/control_plane.json`
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3. the active profile's `SOURCE_OF_TRUTH.md`
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4. the active profile's `status.json`
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5. the active profile's development protocol
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6. subsystem registry and subsystem contracts
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7. audit scripts and guardrail tests
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If the values here and the detailed canonical system ever seem to disagree,
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the detailed canonical system is the path that must be corrected or clarified.
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Do not paper over that mismatch by expanding prompt-like guidance further.
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Use `python3 scripts/release_control/control_plane.py --agent-entrypoint --pretty`
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to print the canonical ordered bundle directly instead of reconstructing it
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from memory.
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Do that resolution quietly unless the result materially changes the plan,
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scope, or user-visible outcome.
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Use `python3 scripts/release_control/work_claim.py --kind ... --id ... --summary ... --agent-id ... --pretty`
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to reserve or renew exactly one governed slice without hand-editing
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`status.json`.
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## Current State
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1. Pulse now treats this file as the evergreen values entry point for agent
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behavior.
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2. Prompt-level guidance should stay principle-led and delegate detailed rules
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to the canonical control-plane and profile-specific surfaces.
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3. In concrete terms: prompt-like guidance should express posture, priorities, and decision heuristics.
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4. In concrete terms: the canonical system, not the prompt, carry the detailed operating burden.
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5. In concrete terms: governance routing should usually be automatic and mostly invisible to the user.
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6. In concrete terms: run `python3 scripts/release_control/agent_preflight.py --pretty`
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as the first executable preflight, then reserve a claim and rerun it with
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`--require-active-claim` before mutating a governed slice.
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