diff --git a/concepts/studio-workbench/README.md b/concepts/studio-workbench/README.md new file mode 100644 index 0000000..76468fe --- /dev/null +++ b/concepts/studio-workbench/README.md @@ -0,0 +1,27 @@ +# Version B: Studio Workbench + +Direction: `Castmagic x content ops studio` + +This version optimizes for teams that want to turn one material source into many structured outputs. + +## Product thesis + +- Users should feel they are operating a content studio, not just a summarizer. +- Material ingestion is one panel inside a broader production system. +- Knowledge bases, assistants, and output assets should be visible at once. +- This is stronger for repeatable workflows and team collaboration. + +## Key decisions + +- `Production` becomes the emotional center of the app. +- The screen is split into material, assistant, and output zones. +- The user can see which knowledge bases feed which assistant. +- One source material can drive multiple output formats immediately. +- This layout is heavier, but it better communicates long-term business value. + +## When this version is best + +- Small content teams +- Agencies managing multiple client voices +- Users who need assistant governance and model routing +- Teams that value throughput over the fastest first-use experience diff --git a/concepts/studio-workbench/index.html b/concepts/studio-workbench/index.html new file mode 100644 index 0000000..b24f87d --- /dev/null +++ b/concepts/studio-workbench/index.html @@ -0,0 +1,426 @@ + + + + + + StoryForge Version B + + + +
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Run your copywriting system like a studio.

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Ingest material, route it through the right knowledge bases, and send different assistants to generate platform-specific outputs.

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Materials this week42
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Knowledge bases9
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Active assistants6
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Reusable outputs128
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Material intake

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Every source enters here first. Links, files, and text all converge into a transcript-centered asset.

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Paste a Douyin or YouTube link here. + +Knowledge target: Founder Hooks + Proof Framing +Assistant route: AI Startup Scriptwriter + Sales CTA Finisher +Analysis model: Local GLM-5
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+ VC founder talking-head sample + 12m · transcript ready · hook density 8.9/10 +
+ Linked +
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+ High-conversion CTA collection + text note · 38 CTA endings extracted +
+ Text +
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Knowledge routing

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Make the knowledge graph visible. Users should always know which assistant can read which material pool.

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+ 1. Transcript clean-up + Remove filler, split hooks, isolate claims, normalize CTA language. +
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+ 2. Style abstraction + Extract rhythm, sentence energy, authority level, objection handling patterns. +
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+ 3. Knowledge base sync + Founder Hooks, Sales Emotion, Short CTA, Proof Framing. +
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+ 4. Assistant generation + Bind one or more KBs, assign model, generate title/script/variant bundle. +
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Output assets

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One material source should fan out into multiple reusable content assets immediately.

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+ AI Startup Scriptwriter + Bound to Founder Hooks + Proof Framing · Model: Local GLM-5 +
+ 60s oral script + 3 title variants + Closing CTA +
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+ Emotion-driven Sales Closer + Bound to Sales Emotion + Short CTA · Model: Gemini via local proxy +
+ Private-domain follow-up + Urgency rewrite +
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+ Authority-led Brand Explainer + Bound to Proof Framing only · Safer for educational content +
+ Long caption + Carousel outline +
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