AajAI uses a Result-First methodology: the goal is not to finish a video but to produce a useful result and understand why the interaction worked.
Mission design
Each mission begins with a real task and follows SEE → TRY → CHECK → IMPROVE → KEEP. A mission is removed or rewritten when it cannot answer: “What useful thing can the learner now do that they could not confidently do before?” Role variants change the context while preserving the skill being practised.
The beginner framework
KAAM + JAANKARI + HAD + NATIJA is used repeatedly: define the task, provide the context, set the constraints, and describe the desired result. It is intentionally plain language rather than prompt-engineering jargon.
How the Coach evaluates
The Coach is bounded to evaluation rather than open-ended chat. It scores relevant dimensions such as task clarity, context, constraints, output definition, iteration, verification, privacy/safety and workflow thinking. Responses are structured and validated server-side. When the AI model is unavailable, AajAI scores the attempt with its rubric instead of blocking progress.
AajAI Tested
A Tested article must state the question, test date, tools/models, input, scoring criteria, result, what worked, what failed, verdict, limitations and sources. Scores are never invented. An editorial checklist confirms that a Tested article contains enough evidence before it is published.
AajAI Pulse
Pulse begins with official or reputable source material, is deduplicated and classified, then becomes a draft. AI may help prepare the draft, but a human must review it before publication. The public article links back to the source and explains what changed, why it matters, who should care, India relevance and one thing to try.
What we publish
AajAI publishes a page only when it has real, useful content, and does not create near-identical pages to chase search traffic. Sections that are still empty, such as Pulse and Tested, say so instead of pretending to have content.
Corrections
If a factual error is found, use the Contact page. Public items retain author/reviewer and date fields so material updates can be traced. Marketing claims are kept separate from measured product data: where there is no data yet, we say “no data yet” rather than estimate a result.