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    90bd124a
    Address all 15 critical feedback points for workshop exercises · 90bd124a
    Mattias Tiger authored
    - Remove copy-paste prompts from easy exercises; encourage own words (#4)
    - Add 'Watch the AI Think' tip in Exercise 1.1 (#2)
    - Add 'Explore the Project Folder' tip in Exercise 1.2 (#5)
    - Add intro text before seminar slides in Exercise 2 (#6)
    - Add 'Finding the Plot' hint in Exercise 2.2 (#7)
    - Style all slide images: centered, border, shadow (#13)
    - Add optional Open WebUI exercise (#10)
    - Remove duplicate 'capable colleague' metaphor from README (#1)
    - Kårallen: human-readable + machine-readable links (#3)
    - Local AI infrastructure narrative in Exercise 3.2 (#9)
    - Semantic search tips and hybrid approach in 5.4 (#15)
    - Smarter Questions tip in 5.5 (#14)
    - .cursorrules: uncertainty bands, LaTeX handling, numbered folders,
      stay-on-task directive (#8, #11, #12, additional)
    - Broaden Bayesian Optimization motivation (#2b)
    - Exercise 2 description in README rephrased (#3a)
    90bd124a
    Address all 15 critical feedback points for workshop exercises
    Mattias Tiger authored
    - Remove copy-paste prompts from easy exercises; encourage own words (#4)
    - Add 'Watch the AI Think' tip in Exercise 1.1 (#2)
    - Add 'Explore the Project Folder' tip in Exercise 1.2 (#5)
    - Add intro text before seminar slides in Exercise 2 (#6)
    - Add 'Finding the Plot' hint in Exercise 2.2 (#7)
    - Style all slide images: centered, border, shadow (#13)
    - Add optional Open WebUI exercise (#10)
    - Remove duplicate 'capable colleague' metaphor from README (#1)
    - Kårallen: human-readable + machine-readable links (#3)
    - Local AI infrastructure narrative in Exercise 3.2 (#9)
    - Semantic search tips and hybrid approach in 5.4 (#15)
    - Smarter Questions tip in 5.5 (#14)
    - .cursorrules: uncertainty bands, LaTeX handling, numbered folders,
      stay-on-task directive (#8, #11, #12, additional)
    - Broaden Bayesian Optimization motivation (#2b)
    - Exercise 2 description in README rephrased (#3a)
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