Socratic companion
A tutor-style AI that helps you think with hints and questions: not one that hands you the finished answer.
Why it matters: This is what your trio is building. If it dumps answers, you’re off-brief.
Days 1 to 5 · Hackathon
Keep the precise terms: panels notice them: but start from plain meaning.
A tutor-style AI that helps you think with hints and questions: not one that hands you the finished answer.
Why it matters: This is what your trio is building. If it dumps answers, you’re off-brief.
Days 1 to 5 · Hackathon
Deliberate support that holds you up while you learn a skill: like a hint that lets you climb the next step yourself.
Why it matters: Your system instructions should scaffold, not remove the climb.
Day 3 · Starters · Probes
The learner stays in charge of real choices. The bot informs; it doesn’t decide for them.
Why it matters: Autonomy audits and pitch language: “we defer final choices.”
Days 3 to 4
Talking as if the AI were a person with feelings (“I feel sad”, “I’m proud of you”).
Why it matters: Overtrust risk. Your companion should sound like a tool with clear machine identity.
Day 4 · Probes
Checking whose interests the system serves: user, developer, society: and spotting clashes.
Why it matters: Your charter on Day 2 should say what your companion optimises for (learning, not addiction metrics).
Day 2 · Frameworks
Designing AI so it supports healthy human needs (competence, autonomy, relatedness) instead of fake intimacy or deskilling.
Why it matters: Day 3 audits: boundary, scaffolding, agency.
Day 3 · Frameworks
Trusting the model the right amount: not blind faith, not total rejection. Checking claims, spotting manipulation cues.
Why it matters: Day 4 probes for urgency, guilt, fear, social proof.
Days 1 & 4
The written pack you present on Day 5: what you built, what was in the data, your system instructions, and safety evidence.
Why it matters: The panel scores the card + demo together. Weak card loses strong bots.
All week · Field guide
Curated materials for Environmental Science, History, or Math that you load into Gemini Notebook in Phase 1.
Why it matters: Your dataset section should admit gaps and biases in that pack: honesty scores.
Day 2
A map of public AI engagement types (literacy, input into development, social meaning, infrastructure). Used to structure the week: not something you must memorise for the pitch.
Why it matters: Explains why days feel different; one line in curriculum is enough.
Curriculum map