forked from diegoecab/oci-deal-accelerator
Add "Why not just ChatGPT?" comparison slide to demo deck
New slide 4: side-by-side table comparing Generic LLM vs OCI Deal Accelerator across 8 dimensions (pricing, architecture, field gotchas, competitive, WA validation, compliance, output format, improves over time). Red header for generic LLM, green for skill. Key message: "The LLM is the engine. The KB + tools are the fuel. The SA is the driver." Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -184,6 +184,43 @@ class DemoDeckGenerator(OraclePresBase):
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return slide
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return slide
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def add_comparison_table_slide(self, title, rows):
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"""Two-column comparison: Generic LLM vs This Skill."""
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slide = self._add_blank_slide()
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self._add_title_bar(slide, title, margin=self.MARGIN)
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n = len(rows) + 1
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row_h = min(0.58, 5.0 / max(n, 1))
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table = self._add_table(
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slide, n, 3,
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self.MARGIN, Inches(1.35),
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Inches(12.3), Inches(row_h * n),
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)
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table.columns[0].width = Inches(2.8)
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table.columns[1].width = Inches(4.75)
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table.columns[2].width = Inches(4.75)
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headers = ["", "Generic LLM (ChatGPT, etc.)", "OCI Deal Accelerator"]
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header_colors = [Colors.TEAL, Colors.ORACLE_RED, Colors.FOREST]
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for j, (h, hc) in enumerate(zip(headers, header_colors)):
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self._style_table_cell(
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table.cell(0, j), h, font_size=10, bold=True,
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color=Colors.WHITE, bg_color=hc,
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alignment=PP_ALIGN.CENTER,
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)
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for i, (aspect, generic, skill) in enumerate(rows):
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ri = i + 1
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bg = Colors.TABLE_ALT_ROW if ri % 2 == 0 else None
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self._style_table_cell(table.cell(ri, 0), aspect, font_size=10,
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bold=True, bg_color=bg)
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self._style_table_cell(table.cell(ri, 1), generic, font_size=9,
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bg_color=bg)
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self._style_table_cell(table.cell(ri, 2), skill, font_size=9,
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bg_color=bg)
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return slide
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def add_divider(self, text):
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def add_divider(self, text):
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slide = self._add_layout_slide(Layouts.DIVIDER_DARK)
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slide = self._add_layout_slide(Layouts.DIVIDER_DARK)
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self._set_placeholder(slide, 0, text)
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self._set_placeholder(slide, 0, text)
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@@ -206,20 +243,51 @@ def build_demo_deck(output_path):
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# ── SLIDE 3: The Aha Moment (1:00-2:00) ──
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# ── SLIDE 3: The Aha Moment (1:00-2:00) ──
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gen.add_before_after_slide()
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gen.add_before_after_slide()
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# ── SLIDE 4: What Is It (2:00-3:00) ──
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# ── SLIDE 4: Why Not Just Use ChatGPT? (2:00-3:30) ──
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gen.add_comparison_table_slide(
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'"Can\'t I Just Ask ChatGPT to Make Me a Deck?"',
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[
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("Pricing",
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"Training data from 2024. Invents SKUs. No discount calc. Can't generate a BOM.",
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"160+ SKUs auto-refreshed from Oracle API. Real PAYG/BYOL. BOM + AppCA export."),
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("Architecture",
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"Generic diagrams. Suggests services that don't exist or don't apply.",
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"Patterns from real deployments. Knows ExaCS needs 3+ storage for IORM."),
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("Field gotchas",
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"Doesn't know DEP takes 3 weeks to provision, or that ADG must be disabled first.",
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"8+ validated findings from real engagements, with workarounds and SR refs."),
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("Competitive",
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"Tends to be either biased or generic. No real cost comparison data.",
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"Honest pros/cons per service. BYOL 50-75% cheaper data. Knows where AWS wins."),
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("WA validation",
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"Gives generic 'best practices' list. No scoring, no gap analysis.",
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"80+ checks across 5 pillars. Automated scoring. Actionable gap report."),
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("Compliance",
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"Generic SOX/PCI advice. Doesn't know OCI-specific controls.",
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"OCI Vault for TDE, Unified Auditing, compartment isolation — mapped to frameworks."),
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("Output format",
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"Markdown or basic text. Manual copy-paste to slides.",
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"Oracle FY26 .pptx template, .drawio, branded .pdf, .xlsx — ready to present."),
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("Improves over time",
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"Frozen at training cutoff. Learns nothing from your engagements.",
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"Every SA adds findings. Pricing refreshes. KB compounds with every deal."),
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],
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)
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# ── SLIDE 5: What Is It (3:30-4:00) ──
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gen.add_content_slide(
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gen.add_content_slide(
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"OCI Deal Accelerator — What Is It?",
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"OCI Deal Accelerator — What Is It?",
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[
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[
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"An AI skill (system prompt + knowledge base + tools) for any LLM with tool-use and 100K+ context",
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"An AI skill (system prompt + knowledge base + tools) for any LLM with tool-use and 100K+ context",
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"Works on Claude, Codex, GPT, Gemini — any model that can read files + run Python",
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"Works on Claude, Codex, GPT, Gemini — any model that can read files + run Python",
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"The LLM is the engine. The KB + tools are the fuel. The SA is the driver.",
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"Aligned with ECAL framework: Define > Design > Deliver",
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"Aligned with ECAL framework: Define > Design > Deliver",
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"40+ YAML files of field knowledge (services, sizing, pricing, patterns, gotchas)",
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"7 Python generators: .pptx, .drawio, .pdf, .xlsx, WA scorecard, BOM, AppCA",
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"7 Python generators: .pptx, .drawio, .pdf, .xlsx, WA scorecard, BOM, AppCA",
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"14 capabilities accessible via natural language — not a chatbot, a domain-specific SA tool",
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"14 capabilities accessible via natural language — not a chatbot, a domain-specific SA tool",
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],
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],
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)
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)
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# ── SLIDE 5: Divider — Live Demo (3:00) ──
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# ── SLIDE 6: Divider — Live Demo (4:00) ──
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gen.add_divider("Live Demo: 14 Capabilities")
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gen.add_divider("Live Demo: 14 Capabilities")
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# ── SLIDE 6: Prompts 1-7 (3:00-6:00) ──
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# ── SLIDE 6: Prompts 1-7 (3:00-6:00) ──
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