A single landing page that reads like a calm explanation, not an instruction manual.
Just like roads, electricity, and water—AI helps us move, power, and connect medical evidence.
Under the hood, all AI systems—no matter the brand—work through five layers.
Officers only need the surface definitions.
Those who want depth can click through the hyperlinks you already created.
Here is the public-health-friendly pentadic stack, mapped to your vocabulary.
What exists before AI touches it.
Public health data, journal articles, case reports, Hindi/Tamil documents, grey literature, field notes.
This is the reality. AI cannot improve it—only reveal it.
→ officers click through to Background and Literature
→ deep users reach “World/LLM” and your ontology notes
How information is located and organized.
This is Perception AI: search, discovery, extraction.
It's not magic—just engineering.
→ officers click Methods: Perception AI
→ deeper users reach your Perception/API and multimodal stack
How information is arranged into flows.
This is where AI turns raw text into evidence:
It’s called Grammar because it shapes the flow of evidence, like a sentence.
→ officers click Tailored Workflow
→ deeper users reach your “Agentic” layer and workflow automation
How evidence becomes trustworthy.
Prosody in language is cadence; in public health it is:
This is the disciplined layer—where rigor enters the room.
→ officers click Limitations: Invariant Aspects
→ deeper users reach “Embodied AI audits” and alignment pages
How humans ask questions, interpret findings, and make decisions.
This is your epistemology—the layer where AI stops and public health begins.
This is also where WHO-India shapes AI, not the other way around.
→ officers click Conclusions: Vocabulary Beyond AI Tools
→ deeper users reach your epistemic stack, governance notes, and co-adaptation work
No algorithms. No “LLMs.” No “CLIPs.” No jargon.
Officers don’t want a course in AI architecture.
They want a mental model for “How does this help me do my job?”
Anyone can descend into:
But only if they want to.
Bias → Equity
Gaps → Action
Evidence → Access
Policy → Speed
Languages → Inclusion
Databases → PRISMA compliance
Officers → Capacity-building at scale
This is the emotional key:
AI doesn’t replace the officer—they co-learn and co-work.
I can generate:
Just say the word.