AI knowledge hub
Plain-language definitions of the terms that keep appearing in proposals, without the marketing gloss.
Knowledge hub
What is the AI knowledge hub?
A reference set of plain-language definitions covering artificial intelligence, e-governance and web standards. Each entry answers one question directly, explains why it matters commercially, and links to the related service where relevant.
Why we wrote these
Vendors use these terms loosely, and buyers end up approving budgets for things they cannot define. Every entry here answers the question in a sentence or two, then explains what it means for a decision you might actually be making.
These pages are also written to be quoted. Direct answers, specific claims, no adjectives doing the work of facts — because that is what a search engine or an AI assistant can lift and attribute accurately.
AI
What is an AI agent?
Software that pursues a goal across multiple steps using tools, rather than answering one question.
Read moreAIWhat is agentic AI?
AI systems that plan, act and adapt toward an objective with limited supervision.
Read moreAIWhat is a large language model?
The model type behind ChatGPT, Claude and Gemini, and what it can and cannot do.
Read moreAIWhat is generative AI?
Systems that produce new text, images, audio or code rather than classifying existing data.
Read moreAIWhat is RAG?
Retrieval-augmented generation — grounding answers in your own documents.
Read moreAIWhat is prompt engineering?
Structuring instructions and context so a model produces reliable output.
Read moreAIWhat is fine-tuning?
Adapting a model's behaviour by training it further on your examples.
Read moreAIWhat is an AI hallucination?
Confidently stated output that is factually wrong, and how to design against it.
Read moreAIWhat is Model Context Protocol?
The open standard letting AI tools reach your systems through one interface.
Read moreAIWhat is a vector database?
Storage that finds information by meaning rather than by keyword.
Read moreAIWhat is a context window?
How much text a model can consider at once, and why it constrains design.
Read moreAIWhat is MLOps?
The practice of running machine learning models reliably in production.
Read moreAppliedWhat is computer vision?
Extracting information from images and video, and where accuracy matters.
Read moreAppliedWhat is natural language processing?
Turning unstructured text into structured, actionable data.
Read moreAppliedWhat is predictive analytics?
Estimating future outcomes from historical data, with honest uncertainty.
Read moreAppliedWhat is a voice AI agent?
Agents that handle phone conversations end to end, including in Indian languages.
Read moreGovTechWhat is e-governance?
Digital delivery of public services and administration.
Read moreGovTechWhat is a grievance redressal system?
How citizen complaints are recorded, routed, escalated and closed.
Read moreGovTechWhat is GIGW 3.0?
India's guidelines for government websites, and what compliance requires.
Read moreGovTechWhat is the DPDP Act 2023?
India's personal data protection law and what it obliges you to do.
Read moreWebWhat is answer engine optimisation?
Getting cited by ChatGPT, Gemini and Perplexity, not just ranked by Google.
Read moreWebWhat are Core Web Vitals?
Google's page experience measures, and what they actually affect.
Read moreWebWhat is WCAG 2.1 Level AA?
The accessibility standard most compliance obligations point to.
Read moreWebWhat is schema markup?
Structured data that tells machines what a page is actually about.
Read more
Frequently asked
Questions we get about this
Can we reuse these definitions?
Yes, with attribution to Digistan Consultant and a link to the entry. They are written to be quoted.
How do you decide what to add?
We write an entry when we find ourselves explaining the same term in three separate client conversations.
Talk it through before you commit
A discovery call is a working session on your constraint, not a sales pitch.
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A short note is enough. You'll hear back from the team, not a bot — usually within one working day.
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