Product guide
Understand the app, one concept at a time.
A living guide to what Agentic AI Canvas Creator does, how the Agentic Brain grows, and where the product is deliberately different from a chatbot or instant document generator.
5 min
What the app is
How the product closes the gap between AI ambition and a grounded path to implementation.
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5 min
How the app works
The progressive journey from initial context to a useful Agentic Brain and delivery artifacts.
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5 min
How it is different
The distinctions between this product and chatbots, forms, diagram tools, and agent builders.
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6 min
Core concepts
A shared vocabulary for the Brain, operating model, Canvas, readiness, Agentic ROI, evidence, and artifacts.
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9 min
Using the Agentic Brain
How Brain chat, Build mode, Chat, Guided, Agent, history, and read-only assessment conversations work.
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4 min
Client intake worksheet
A short client-facing worksheet for gathering enough context to start Instant Chat and create a first Canvas draft.
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7 min
Canvas guide
What the 11 authored Canvas sections capture and how section completion differs from readiness and evidence quality.
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8 min
Agentic ROI
How the ROI confidence score, evidence dimensions, value drivers, baselines, annual value, and payback ranges work.
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7 min
Agentic Outputs
How Overview, Summary, Slides, Blueprint, Agents, Build, Security Review, readiness, and ROI relate to the same Canvas, and the order they are generated in.
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7 min
Sources and memory
How raw sources are reviewed, approved as attached memory, grounded in Brain answers, detached, and deleted.
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8 min
Governance and safety
The product boundaries around evidence, human approval, autonomous modes, benchmarks, security guidance, and deployment.
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How this guide grows
One index, smaller focused pages
Start with the shared vocabulary, then use the focused guides for Instant Chat, Brain modes, Canvas sections, Agentic ROI, outputs, sources and memory, and governance boundaries.
Every page is backed by Markdown in the repository, reviewed with the code, and generated into a browser page during deployment.