Layer StackCapability maturity stack

Capability maturity stack

Slide showing maturity by layer for our AI platform, current vs target.

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Capability maturity stack slide template rendered with SlideForge

Cost

$0.05/slide

Engine

Deterministic

Pattern

Layer Stack

Output

.pptx + PDF + PNG

Example brief

A readiness slide for an AI platform that shows the current-to-target maturity of each layer top to bottom. AI experiences and model operations are mid-maturity and improving; governance and the compute foundation are already mature; the feature and data platform layer is the focal bottleneck at the lowest maturity with the largest gap to target. Each layer needs a short rationale and a current-to-target maturity marker, emphasizing that the data platform caps the maturity of every layer above it.

Render it

Structured intent — create_slide payload

Copy-paste-ready. Renders deterministically (verbatim, no LLM). Add a theme_id for any of the built-in themes — the layout stays identical.

{
  "form": "layer_stack",
  "variant": "capability_maturity_stack",
  "headline": "Weak data foundations cap the maturity of every layer above",
  "context": "Current versus target readiness across the AI platform",
  "takeaway": "Fund the data platform first — it is the binding constraint on AI maturity.",
  "data": {
    "layers": [
      {
        "label": "AI Experiences",
        "sub": "Copilots, search and recommendations",
        "meta": "L2 → L4",
        "tone": "warn"
      },
      {
        "label": "Model Operations",
        "sub": "Evaluation, deployment and monitoring",
        "meta": "L2 → L3",
        "tone": "warn"
      },
      {
        "label": "Feature & Data Platform",
        "sub": "Pipelines, feature store and lineage",
        "emphasis": "primary",
        "meta": "L1 → L4",
        "tone": "bad"
      },
      {
        "label": "Governance & Safety",
        "sub": "Policy, red-teaming and access",
        "meta": "L3 → L4",
        "tone": "good"
      },
      {
        "label": "Compute Foundation",
        "sub": "GPU scheduling and cost controls",
        "meta": "L3 → L3",
        "tone": "good"
      }
    ]
  }
}

cURL (REST)

curl -X POST https://api.slideforge.dev/v1/render/intent \
  -H "Authorization: Bearer sf_live_..." \
  -H "Content-Type: application/json" \
  -d '{"form":"layer_stack","variant":"capability_maturity_stack","headline":"Weak data foundations cap the maturity of every layer above","context":"Current versus target readiness across the AI platform","takeaway":"Fund the data platform first — it is the binding constraint on AI maturity.","data":{"layers":[{"label":"AI Experiences","sub":"Copilots, search and recommendations","meta":"L2 → L4","tone":"warn"},{"label":"Model Operations","sub":"Evaluation, deployment and monitoring","meta":"L2 → L3","tone":"warn"},{"label":"Feature & Data Platform","sub":"Pipelines, feature store and lineage","emphasis":"primary","meta":"L1 → L4","tone":"bad"},{"label":"Governance & Safety","sub":"Policy, red-teaming and access","meta":"L3 → L4","tone":"good"},{"label":"Compute Foundation","sub":"GPU scheduling and cost controls","meta":"L3 → L3","tone":"good"}]}}'

Frequently asked questions

How do I render the Capability maturity stack template?

Send a POST to /v1/render/auto with a brief, or call create_slide via MCP with the structured intent shown below. The response includes an editable .pptx, a PDF, and a PNG. $0.05 per slide.

Does an AI write the slide?

No. SlideForge renders deterministically from a structured intent — no LLM draws the slide, so text is never mangled or fabricated. The optional brief path uses a router to pick the pattern, then renders deterministically.

Can I customize the colors and fonts?

Yes. Pass a theme_id to apply a built-in or custom brand theme; the layout stays the same.

Try this template

Render Capability maturity stack deterministically — editable PowerPoint in under a second.

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