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Curriculum / Foundation

LLM Council (Capstone)

Learn to direct, check and combine AI tools.

Illustrative scene for: LLM Council (Capstone)
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Use AI toolsMake something useful

Where this topic fits

From chat and files to development, voice, design, agents and capstone projects, the foundation builds practical tool literacy. The learner still defines the problem, checks the result and explains decisions.

This topic appears in the public Maahir curriculum. The application below is an illustrative task for this guide, not a verbatim lesson or a claim that every learner completes the same exercise.

A practical application

Comparing AI Answers — Capstone

Two AI answers recommend different ways to organise a workflow.

  1. Give each tool the same brief and approved information.
  2. Compare assumptions, strengths and unsupported statements.
  3. Check consequential claims against independent sources or tests.
  4. Produce your own recommendation and explain rejected suggestions.

From the attempt to evidence

Comparison, verification notes and a defended recommendation.

Record the brief, your attempt, the source or calculation checks and what you changed after feedback. Explain the part AI helped with and the decisions you made yourself.

Four useful review questions

  1. Did the attempt answer the real brief?
  2. Which facts, calculations or system behaviours need checking?
  3. Can you explain your choices and limitations?
  4. What would you improve or practice next?

Connect a situation, not only a tool

Explain what AI helped with and what you checked yourself.

Use a suitable role-play, English practice or decision scenario to rehearse the conversation around the work. A good document and a good explanation are different skills. Practice both.

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Explore the learning platform: Published curriculum. Examples here explain possible learning applications; they are not promises of individual results.

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See a situation unfold.

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Find an answer you can trace to a source
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Education & research

Find an answer you can trace to a source

An AI answer sounds convincing, but the source may be missing, outdated or unrelated.

Research + verificationFollow the example →
From repeated problem to a tested prototype
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Build with AI

From repeated problem to a tested prototype

A team repeatedly answers the same service questions and wants an AI assistant.

Research → design → build → testFollow the example →

Questions to connect this topic with real situations

These related, illustrative practice guides can help you rehearse the conversation or task around your learning. Choose a suitable level; they do not replace the actual lesson brief or specialist review.

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