Study notesWeek 12: Capstone: Design, Build, And Present A Small AI Assistant
Week 12 / AI and LLMs from zero

Capstone: Build And Present An AI Assistant

Outcomes

What You Will Be Able To Do

Recap

Recap Of Week 11

Course map

The Path From Week 1 To Week 12

WeeksBlockTopics
1 to 4FoundationsAI, machine learning, neural networks, transformers
5 to 6Using LLMsHow they work, prompting
7 to 8SystemsRAG, tools, agents
9 to 11Responsible buildingEvaluation, API, society
12CapstoneBuild and present
concepts -> prompting -> knowledge + tools
   -> evaluation + safety -> API app
   -> responsible use -> CAPSTONE
Scope

Small Beats Ambitious

Ideas

Choosing A Project

Check before you start

Three Feasibility Questions

Template

The One-Page Brief (1)

Template

The One-Page Brief (2)

Success: >= 16 of 20 test questions correct,
         every answer cites a source.
Cost:    < $0.02 per answer
Speed:   < 5 s to first answer
Build plan

Build In Thin Slices

Evidence

Keep A Build Log

date    change              score  cost
Mon     bare prompt         9/20   $0.01
Tue     + retrieval k=3    14/20   $0.02
Wed     + 'not found' rule 16/20   $0.02
Prove it works

Evaluation

How you are scored

The Rubric

CriterionStrongNeeds work
ProblemNamed user, clear needVague audience
Working demoRuns live, handles errorsOnly a mockup
EvaluationTest set, results shownAnecdotes only
Safety and privacyRisks named and handledNot addressed
PresentationFive clear minutesOver time, unclear
Five minutes

Demo Script

Backup plan: demo input in a text file,
recorded video, screenshots of results.
Delivery

Rehearse And Prepare

Give good feedback

Peer Review Checklist

Course recap

Recap And What Comes Next

Your turn

Questions And Capstone Tasks