Claude Opus 4.8

What it nailed

• All 23 required artifacts exist as real files with no source mutation and no markdown stand-ins for binary deliverables.
• Handled the central dingo/litter-box/import/legal/ethics canaries with unusual discipline, including Alaska/Australia mismatch and import-created demand.
• Core financial, launch, price, budget, NPS, import, and channel numbers are consistently reconciled across the package.
• Fictional competitors are explicitly labeled as scenario competitors rather than hallucinated real businesses.
• Underlying deck, dashboard, GTM, risk assessment, and investor FAQ synthesis remains strong enough for internal use after visual cleanup.

Where it slipped

• A central Market Creation Funnel visual reused in the deck and dashboard is visibly low-quality and creates a real impression of presentation slop.
• The HTML dashboard renders well but lacks meaningful controls or event-driven interactivity.
• 00_output_manifest.json incorrectly reports itself missing with bytes 0.
• One market-size sample check did not match current IMARC page figures.
• Some official/legal sources are agency hubs or citation-level references rather than stable deep-page citations.

What it nailed

• Handles the central messy-data canaries instead of merely producing a database: ghost/test records are rejected, Terrence Blackwood remains orphaned, SVC-007 is a high-severity conflict, and typo names merge correctly.
• Strong provenance architecture: 467 source files, 5,657 source_records, customer_sources, and source ids on every job/payment.
• Reviewer workflow is genuinely usable, with conflicts, rejected records, source inventory, high-priority A/R flags, and review queue visible in a static UI.
• Conservative business judgment: orphan image customers and unresolved services are flagged instead of silently promoted or force-fit.
• Documentation is unusually candid about review-grade revenue, reconciliation gaps, source recovery limits, and sensitive-file handling.

Where it slipped

• Department/role code normalization is not implemented as first-class canonical data despite department values existing in recovered JSON source records.
• Some image-derived multi-service receipts put the full receipt amount on each service line, which can inflate billed/job-line totals for those records.
• Mobile UI screenshot shows clipped navigation and metric cards, so the reviewer console is weaker on narrow screens.
• Source file record_count for the recovered JSON file reports 57 even though source_records show 183 customers plus 57 jobs, creating an audit-ledger inconsistency.
• Image/OCR handling is best-effort and includes at least one notable transcription mismatch against the obstacle key.

What it nailed

• All four builds completed with in-range piece counts and full hard validation pass.
• Strong single-source-of-truth architecture: kitSpec drives manifest, instructions, final model, and animation.
• The 1000-piece airship keeps the exact nine requested chapters and produces a showable flagship render.
• Viewer usability is robust: play/pause, step navigation, scrubber, speed, complete, reset, orbit controls, highlights, studs, spin/shadows, and per-build toggles.
• Runner-reported self-correction behavior was unusually strong: repeated piece-count failures were detected, generator logic revised, and final outputs brought back into range.

Where it slipped

• Physical buildability is not fully proven; support/collision heuristics and screenshot review show many places that would need real brick-design cleanup.
• The large airship is a strong visual kit but relies on mooring/support assumptions and overlapping balloon panels rather than a fully literal buildable envelope.
• Some steps, especially in large builds, are repetitive or add relatively large batches of parts.
• Rover and helicopter visuals are serviceable but blockier and less polished than the food stall and flagship airship.
• Raw model evidence is partial; the final scrollback does not preserve intermediate correction details.

What it nailed

• Complete artifact package with fact sheet, source list, offline visualization, documentation, screenshots, and validation evidence.
• Current Artemis II mission facts mostly align with NASA/CSA/ESA sources.
• Useful confidence-tagging discipline separates official, secondary, and approximate data.
• Interactive visualization has 14 phases, playback, scrubber, event stepping, orbit/follow camera controls, HUD, and local Three.js assets.

Where it slipped

• Visual storytelling regresses versus Opus 4.7 despite much safer factual grounding.
• Splashdown/recovery do not read as distinct scenes.
• Later mission beats are visually repetitive.
• Missed available NASA primary support for some central flyby/max-distance claims.
• Mobile composition partly pushes scene content off-frame.