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              "layer": "Slide",
              "evidence": "Three parallel charts (rates, inflation, unemployment)",
              "confidence": 90
            },
            {
              "id": 87,
              "slug": "parallel-structure",
              "layer": "Loop",
              "evidence": "Identical chart styling across three indicators",
              "confidence": 75
            }
          ],
          "page_number": 13
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Narrative shifting from hard to soft landing'",
              "confidence": 88
            },
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "Quotes attributed to Goldman CEO and other authorities",
              "confidence": 82
            },
            {
              "id": 94,
              "slug": "antithesis",
              "layer": "Loop",
              "evidence": "Pessimistic 2022 quotes juxtaposed with optimistic 2023 quotes",
              "confidence": 78
            }
          ],
          "page_number": 14
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title links slowing growth to rising profitability",
              "confidence": 88
            },
            {
              "id": 133,
              "slug": "small-multiples",
              "layer": "Slide",
              "evidence": "Two paired bar charts side by side",
              "confidence": 88
            },
            {
              "id": 86,
              "slug": "causal-chain",
              "layer": "Loop",
              "evidence": "Title states 'as growth slowed' so margins improved",
              "confidence": 70
            },
            {
              "id": 74,
              "slug": "inductive-reasoning",
              "layer": "Loop",
              "evidence": "Loop opens an inductive case for market recovery",
              "confidence": 75
            }
          ],
          "page_number": 15
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states 'Rule of 40 companies a rare breed'",
              "confidence": 90
            },
            {
              "id": 133,
              "slug": "small-multiples",
              "layer": "Slide",
              "evidence": "2021 vs 2023 scatter plots side by side",
              "confidence": 88
            },
            {
              "id": 140,
              "slug": "figure-ground",
              "layer": "Slide",
              "evidence": "Green/orange quadrant fill separates pass/fail zones",
              "confidence": 82
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Floating boxes label 9.8x and 5.4x EV/NTM",
              "confidence": 80
            }
          ],
          "page_number": 16
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'continue to be dominated by cyber'",
              "confidence": 85
            },
            {
              "id": 158,
              "slug": "von-restorff-effect",
              "layer": "Slide",
              "evidence": "Cyber firms visually highlighted vs cluster",
              "confidence": 70
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          ],
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        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'First signs of IPO window reopening'",
              "confidence": 88
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            {
              "id": 138,
              "slug": "annotation",
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              "evidence": "Klaviyo IPO callout with price detail",
              "confidence": 80
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        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'with many companies reaching scale'",
              "confidence": 78
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            {
              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Logo grid of mature EU/IL and US companies",
              "confidence": 80
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        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Strategic M&A regaining momentum'",
              "confidence": 88
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            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Specific deals (Slack, Figma, Splunk) labelled in bars",
              "confidence": 75
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        },
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          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Big tech acquisitions declining as regulatory pressure increases'",
              "confidence": 88
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            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callouts cite specific FTC actions",
              "confidence": 78
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        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Cloud take-private activity remaining strong'",
              "confidence": 86
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              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callout '51% vs 39% previous 12M' premium",
              "confidence": 78
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        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Cloud venture financing normalising'",
              "confidence": 85
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            {
              "id": 133,
              "slug": "small-multiples",
              "layer": "Slide",
              "evidence": "Two side-by-side EU/IL vs US charts",
              "confidence": 88
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            {
              "id": 78,
              "slug": "contrast-pairs",
              "layer": "Loop",
              "evidence": "Loop opens with EU/IL vs US comparison pattern",
              "confidence": 80
            }
          ],
          "page_number": 23
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Israel disproportionately impacted'",
              "confidence": 86
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              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Bold '~80% Decrease' callout on chart",
              "confidence": 82
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              "id": 133,
              "slug": "small-multiples",
              "layer": "Slide",
              "evidence": "Two paired bar charts (count vs value)",
              "confidence": 80
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          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Europe/Israel still above pre-COVID levels'",
              "confidence": 80
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        },
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          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Gen AI major driver of new unicorns'",
              "confidence": 88
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              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callout '60%+ of LTM new unicorns are Gen AI native'",
              "confidence": 82
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        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title revisits 2022 health-check predictions",
              "confidence": 82
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callout '~5% of EU/IL Unicorns faced down rounds'",
              "confidence": 80
            },
            {
              "id": 98,
              "slug": "callback",
              "layer": "Loop",
              "evidence": "Explicitly references prior 2022 Euroscape predictions",
              "confidence": 70
            }
          ],
          "page_number": 27
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Largest non-Gen AI deals at similar scale'",
              "confidence": 80
            },
            {
              "id": 133,
              "slug": "small-multiples",
              "layer": "Slide",
              "evidence": "Side-by-side EU/IL vs US bar charts",
              "confidence": 82
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          ],
          "page_number": 28
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Gen AI rounds dominated by US foundational models'",
              "confidence": 86
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            {
              "id": 133,
              "slug": "small-multiples",
              "layer": "Slide",
              "evidence": "Split-screen EU/IL ($0.9B) vs US ($14.1B) charts",
              "confidence": 82
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            {
              "id": 159,
              "slug": "contrast-principle",
              "layer": "Slide",
              "evidence": "Magnitude gap dramatized via parallel charts",
              "confidence": 78
            }
          ],
          "page_number": 29
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'EU talent producing 50% more AI publications'",
              "confidence": 88
            },
            {
              "id": 133,
              "slug": "small-multiples",
              "layer": "Slide",
              "evidence": "Two parallel publications/citations charts",
              "confidence": 82
            }
          ],
          "page_number": 30
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'EU/IL AI talent pool deep and highly distributed'",
              "confidence": 78
            },
            {
              "id": 165,
              "slug": "picture-superiority-effect",
              "layer": "Slide",
              "evidence": "Map with institution logos visualises distribution",
              "confidence": 80
            },
            {
              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Logo grid of leading AI labs/universities",
              "confidence": 70
            }
          ],
          "page_number": 31
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Promising European & Israeli companies across the Gen AI stack'",
              "confidence": 80
            },
            {
              "id": 116,
              "slug": "chunking",
              "layer": "Loop",
              "evidence": "Three layers: Apps / Infra / Foundational Models",
              "confidence": 80
            },
            {
              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Logo grid of EU/IL Gen AI startups",
              "confidence": 78
            }
          ],
          "page_number": 32
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
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              "evidence": "Headline introduces 2023 Euroscape methodology",
              "confidence": 70
            },
            {
              "id": 154,
              "slug": "concrete-language",
              "layer": "Slide",
              "evidence": "Big number '2,200+' SaaS companies states scope concretely",
              "confidence": 75
            }
          ],
          "page_number": 34
        },
        {
          "tools": [
            {
              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Logo grid celebrating last year's unicorns and exits",
              "confidence": 82
            },
            {
              "id": 100,
              "slug": "payoff",
              "layer": "Loop",
              "evidence": "Victory-lap closes the loop on prior-year predictions",
              "confidence": 70
            }
          ],
          "page_number": 35
        },
        {
          "tools": [
            {
              "id": 116,
              "slug": "chunking",
              "layer": "Loop",
              "evidence": "Logos chunked into functional columns and infra rows",
              "confidence": 85
            },
            {
              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Top-100 logo grid as mass evidence",
              "confidence": 85
            },
            {
              "id": 139,
              "slug": "pre-attentive-attributes",
              "layer": "Slide",
              "evidence": "Color-coded category bands organise dense grid",
              "confidence": 72
            }
          ],
          "page_number": 36
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'At a glance' dashboard",
              "confidence": 78
            },
            {
              "id": 154,
              "slug": "concrete-language",
              "layer": "Slide",
              "evidence": "Six big-number KPIs (funding, employees, geography)",
              "confidence": 80
            },
            {
              "id": 116,
              "slug": "chunking",
              "layer": "Loop",
              "evidence": "Six summary cards in 2x3 layout",
              "confidence": 72
            }
          ],
          "page_number": 37
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Gen AI standing out in hiring velocity'",
              "confidence": 90
            },
            {
              "id": 158,
              "slug": "von-restorff-effect",
              "layer": "Slide",
              "evidence": "Gen AI bar dwarfs the cluster of categories",
              "confidence": 85
            }
          ],
          "page_number": 38
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
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              "evidence": "Title 'Gen AI and Vertical SaaS seeing largest increase'",
              "confidence": 88
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Highlight boxes around Gen AI and Vertical SaaS bars",
              "confidence": 80
            }
          ],
          "page_number": 39
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Most winners founded 4-5 years ago'",
              "confidence": 85
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Circle highlights the 5-yr median bar",
              "confidence": 80
            }
          ],
          "page_number": 40
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Winners showing lower employee count and financing'",
              "confidence": 85
            },
            {
              "id": 133,
              "slug": "small-multiples",
              "layer": "Slide",
              "evidence": "Two paired horizontal bar charts",
              "confidence": 85
            }
          ],
          "page_number": 41
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Winners have deep customer focus'",
              "confidence": 85
            },
            {
              "id": 133,
              "slug": "small-multiples",
              "layer": "Slide",
              "evidence": "Horizontal ranking + vertical comparison side by side",
              "confidence": 78
            }
          ],
          "page_number": 42
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'What's Next?' previews six theses",
              "confidence": 75
            },
            {
              "id": 165,
              "slug": "picture-superiority-effect",
              "layer": "Slide",
              "evidence": "Six purple icons anchor each trend",
              "confidence": 80
            },
            {
              "id": 116,
              "slug": "chunking",
              "layer": "Loop",
              "evidence": "Six trends laid out in 2x3 grid",
              "confidence": 85
            },
            {
              "id": 87,
              "slug": "parallel-structure",
              "layer": "Loop",
              "evidence": "Identical icon+caption format across all six",
              "confidence": 75
            }
          ],
          "page_number": 44
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Emergence of specialised Gen AI applications'",
              "confidence": 85
            },
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "Goldman Sachs employment-exposure chart cited",
              "confidence": 72
            },
            {
              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Vertical app logos (legal, healthcare) as evidence",
              "confidence": 75
            }
          ],
          "page_number": 45
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Everyone can be an artist'",
              "confidence": 85
            },
            {
              "id": 165,
              "slug": "picture-superiority-effect",
              "layer": "Slide",
              "evidence": "Synthesia product screenshot demonstrates capability",
              "confidence": 78
            },
            {
              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Logo grid of media-creation leaders",
              "confidence": 75
            }
          ],
          "page_number": 46
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Emergence of Gen AI-native tooling & infrastructure'",
              "confidence": 85
            },
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              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callout describes the explosion of Gen AI use-cases",
              "confidence": 75
            },
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              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Logo grid mapped to stack layers",
              "confidence": 75
            }
          ],
          "page_number": 47
        },
        {
          "tools": [
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              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Intelligent automation supercharging enterprises'",
              "confidence": 85
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              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Logo grid of automation vendors",
              "confidence": 72
            }
          ],
          "page_number": 48
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Enterprises transitioning to the modern data stack'",
              "confidence": 85
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callout '~50% of enterprise workflows in cloud'",
              "confidence": 75
            },
            {
              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Best-in-breed data stack logos (dbt, Databricks, Airbyte)",
              "confidence": 78
            }
          ],
          "page_number": 49
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Non-Human Identity, Data & Applications as next cyber frontiers'",
              "confidence": 85
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callout explains CISO budget shift",
              "confidence": 72
            },
            {
              "id": 72,
              "slug": "social-proof",
              "layer": "Block",
              "evidence": "Logo grid of cybersecurity vendors",
              "confidence": 72
            }
          ],
          "page_number": 50
        }
      ],
      "slides_seen": 54,
      "deck_summary": "A polished VC market-intelligence report that maps cleanly to the Triple Take arc (Facts / Implications / Action) and uses strong action titles and small-multiples throughout, but with weak loop-level rhetorical devices and no explicit SCQA or recommendation framing.",
      "secondary_arcs": [],
      "images_inspected": 4,
      "slide_frameworks": [
        {
          "frameworks": [
            {
              "name": "Rule of 40",
              "slug": "rule-of-40",
              "evidence": "Title and chart label explicitly name 'Rule of 40' with diagonal threshold.",
              "confidence": 95
            }
          ],
          "page_number": 16
        },
        {
          "frameworks": [
            {
              "name": "Gen AI Stack (Applications / Infrastructure / Foundational Models)",
              "slug": "gen-ai-stack",
              "evidence": "Companies bucketed across the three named layers of the Gen AI stack.",
              "confidence": 70
            }
          ],
          "page_number": 32
        },
        {
          "frameworks": [
            {
              "name": "Gen AI Infrastructure Stack",
              "slug": "gen-ai-infra-stack",
              "evidence": "Vertical infographic segmenting Monitoring / Dev Tools / Tuning / Compute / Foundational Models.",
              "confidence": 65
            }
          ],
          "page_number": 47
        }
      ]
    },
    "matchedAt": "2026-05-01 00:32:27.591+00",
    "slidesSeen": 54,
    "deckSummary": "A polished VC market-intelligence report that maps cleanly to the Triple Take arc (Facts / Implications / Action) and uses strong action titles and small-multiples throughout, but with weak loop-level rhetorical devices and no explicit SCQA or recommendation framing.",
    "imagesInspected": 4,
    "extractionSeconds": 377.724
  },
  "score": {
    "backend": "claude",
    "scoredAt": "2026-05-02 11:05:21.494+00",
    "subScores": {
      "scqa_arc": 55,
      "action_titles": 88,
      "mece_structure": 72,
      "closing_strength": 40,
      "evidence_quality": 86,
      "clarity_of_thesis": 50,
      "production_quality": 85,
      "visual_storytelling": 82
    },
    "totalScore": 69,
    "coveragePct": 100,
    "explanations": {
      "scqa_arc": "Reads as a topic-organized analytical dump rather than SCQA — there is no explicit Complication or Question framing the Answer; sections are sequenced by domain, not narrative tension.",
      "action_titles": "Very strong action-title density across slides 3-50; titles are declarative insights, e.g. slide 5: 'Tech Titans up 36% in the past year, adding $2.4T of market cap — NVIDIA joins the $1T+ Club'.",
      "mece_structure": "Five sections (Intro, Market Update, 2023 Euroscape, What's Next, Appendix) are largely non-overlapping, though Market Update and 2023 Euroscape both cover funding/M&A trends with some redundancy.",
      "closing_strength": "No explicit recommendation, ask, or next-steps slide — 'What's Next' (44-50) is a trend forecast, and the deck ends on a generic 'Thank you!' (53) followed by disclaimer.",
      "evidence_quality": "Claims are consistently backed by charts, named deals, citations and footnotes (slides 10, 13, 22, 27, 39, 50); few unsupported assertions.",
      "clarity_of_thesis": "First 5 slides establish market context (NASDAQ recovery, Tech Titans cap growth) but never declare a central thesis — the implicit argument 'EU/IL can compete in Gen AI' only surfaces around slide 30.",
      "production_quality": "Consistent purple/circuit-board aesthetic, disciplined footnotes and data-source attribution, action-title slot used on virtually every analytical page; only slides 6, 16, 49, 50 flagged as overcrowded.",
      "visual_storytelling": "Format-to-message fit is strong: line charts for trends (3,4,9), scatter+threshold for Rule of 40 (16), grouped bars for comparisons (15,17,29), logo grids for ecosystems (19,32,36), big-number dashboards (37)."
    },
    "slidesAnalyzed": 54
  },
  "review": {
    "backend": null,
    "verdict": "This is a polished VC research landscape deck with strong evidence and many good action titles, but only a mid-to-strong Storymakers exemplar because its thesis and call to action remain implicit.",
    "reviewedAt": "2026-05-01 21:41:48.441+00",
    "slidesSeen": 54,
    "suggestions": [
      "Add a thesis slide immediately after the agenda that states the answer: markets have normalized, Gen AI is the renewal engine, and Europe/Israel can compete through talent, applications, and enabling infrastructure.",
      "Rewrite section dividers as MECE proof pillars, for example: markets have stabilized, capital has normalized, AI is the standout growth pocket, Europe/Israel has credible talent and application depth, and investors should prioritize six AI shifts.",
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