Token reduction
-- Comptextv7 groups repeated diagnostic families, counts, signatures, field slots, and temporal windows so the - review payload can focus on retained anchors instead of replaying every redundant raw line. -
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- Static-first · Vercel-compatible · Cloud review surface
-Comptextv7 showcase for auditable diagnostic token reduction.
-- A premium, dark enterprise landing experience for reviewers who need to understand how Comptextv7 reduces - repetitive synthetic diagnostic logs into deterministic KVTC-V7 transport frames without introducing backend - complexity or local execution assumptions. -
- -Validation pipeline
-- The showcase points to repository validation surfaces such as replay, token telemetry, forensic checks, - contract reports, dashboard health, and GitHub Actions outcomes rather than claiming local proof. -
-Cloud-first execution model
-- Reviewers inspect committed documents and CI artifacts in the cloud. This app does not require a backend, - mutable local state, or a laptop-specific execution path. -
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- Architecture section
-A separated showcase surface, not another experiment console.
-- This app is intentionally static and presentation-focused. It explains the Comptextv7 review model while - leaving core processing logic, Chilli/Hatch assets, and operational dashboard assumptions untouched. -
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- Input
- Synthetic XENTRY, OBD, and workshop-style fixtures
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- Core
- Deterministic KVTC-V7 frame
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- Evidence
- Validation reports and CI artifacts
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- Delivery
- Static Vercel deployment
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- No proprietary production payloads, secrets, customer data, or real fleet logs are embedded.
-Header inventory, family layer, temporal windows, and compact payload representation.
-Reviewers follow cloud results, committed reports, and CFI contracts for evidence boundaries.
-No backend required, no API dependency, and no hidden local execution requirement.
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- Artifact cards
-CI artifacts and documents to inspect before trusting a reduction.
-- These links are evidence entry points, not substitute validation claims. Review the exact commit, workflow - status, run timestamps, and artifact availability for the change under consideration. -
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- Showcase readiness
- Executive posture, limits, and non-claims
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- Documents the cloud-first review model and the boundary between validated behavior and future work.
- - - Benchmark explanation - How to read token reduction conservatively -Explains why lower token volume is useful only when retained anchors and validation evidence are inspected.
- - - Release health - Dashboard and report readiness summary -Provides a committed health view that should be cross-checked against the relevant CI run.
- - - GitHub Actions - Cloud execution evidence -Use workflow results as the authority for current validation status instead of this static presentation.
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- Benchmark explanation section
-Token reduction is a review aid, not a correctness claim.
-- The benchmark story is deliberately conservative: no fake metrics, no invented validation pass rates, and no - unverified production claims. Comptextv7 reduces repeated structure by transporting diagnostic anchors and - compact counts, but reviewers must still verify retained evidence and CI status. -
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- What the compact frame preserves
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- Run-level inventory and provenance fingerprints. -
- Severity, ECU/module, DTC/SPN/FMI, and dominant family context. -
- Temporal burst shape through windowed family counts. -
- Payload metadata suitable for downstream assistant or audit handoff. -
What this app does not claim
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- No lossless reconstruction guarantee. -
- No Daimler certification, endorsement, or production approval. -
- No validation on real fleet, workshop, customer, or proprietary data. -
- No benchmark superiority beyond inspected synthetic/static evidence. -
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- CFI-01/02/03 flow
-CFI artifacts connect contracts, cloud validation, and reviewer consumption.
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- CFI-01
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- CFI-02
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- CFI-03
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- Cloud CI result contract
-Defines the bounded result shape reviewers should expect when reading cloud validation outcomes.
-Validation runner workflow
-Shows how validation evidence is produced in CI rather than inferred from a local showcase session.
-Artifact consumption
-Guides display-only review of compact and human-readable artifacts without mutating local state.
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- Reviewer walkthrough section
-A no-local-execution path for enterprise reviewers.
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- Read the posture
Start with showcase readiness and benchmark explanation to understand scope, limits, and data posture.
Open Actions
Inspect the relevant GitHub Actions run for commit binding, status, timestamps, and generated artifacts.
Trace CFI flow
Follow CFI-01/02/03 from contract shape to workflow execution and artifact consumption guidance.
Record decisions
Capture what was validated, what remains unclaimed, and which follow-up evidence is needed for a pilot.
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- Enterprise readiness section
-Ready for review conversations, not production certification.
-- The showcase supports governance, auditability, repeatability, and data-minimization conversations. It does - not replace safety review, cybersecurity assessment, legal review, OEM validation, or pilot-data evaluation. -
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- Deterministic framing
- Bounded evidence
- Static-first deployability
- No backend complexity
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- Stable transformations are easier to review than opaque free-form summaries.
Validation status belongs to reports, contracts, and CI artifacts, not marketing copy.
Vercel can serve the app from built static files without a backend service.
The page is HTML and CSS only, with build tooling limited to copying static assets.