Categories › Knowledge & Everyday › Education & learning
Courses that argue back: learn adaptively, build real work, then defend it to an AI stakeholder.
Remote server: your requests and data go to ripostiq.com. Claude Code: claude mcp add --transport http ripostiq https://ripostiq.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
login — Claude Code plugin login only (auth_token flow). On the web/desktop connector, identity comes from the connector's OAuth approval — do NOT awhoami — Return the current logged-in user (via OAuth bearer or an auth_token).get_entitlements — List the logged-in account's entitlements across courses (OAuth bearer or auth_token).get_lesson — Fetch a module's lesson content. Free module is open; paid modules require an active entitlement. Returns {locked, teaser, checkout_url} whelist_courses — List every available Ripostiq course (no login needed). Call this FIRST when a user wants to browse or start learning. Each course has a frebegin_course — Start a course. Returns the tutor protocol, intake guidance, and the module map. Call this first, run the intake, then call teach_section toroast — Free 'Roast my work' — a single tough-but-fair stakeholder grilling of ANY artifact the user pastes (PRD, architecture, code, pitch, resume,interview_prep — Free 'Mock interview' — a realistic, calibrated interview for a role. `jd_or_skill` is the job description (paste it) or the skill/role to ilist_interviews — List the curated Interview-Prep topics (e.g. 'Agentic AI in Production'). Each is a realistic, adaptive mock interview on a fixed topic — costart_interview — Begin a curated Interview-Prep session on a fixed topic. `interview` is the topic id from list_interviews (e.g. 'agentic-ai-in-production');teach_section — Get one lesson section's content + the teaching protocol for it. Free module is open; paid modules require an active entitlement (returns {lrun_boss — Get the module's boss-battle simulation + how to run it (in-character, real stakes, earned PASS). Gated like lessons. `difficulty` dials thedaily_drill — The two-minute drill — today's spaced-recall question + the learner's day streak. Call it to fetch today's question (deterministic per day, start_exam — Start the course's SCORED PRACTICE EXAM — a full, blueprint-aligned multiple-choice mock that returns a scaled score against the real pass lsubmit_exam — Score a practice exam started with start_exam. `answers` maps each question id to the learner's chosen letter, e.g. {"q001": "A", "q002": "Cget_outline — Full course outline — every module + its section titles — so the learner can pick ANY module/section to start, in any order. Marks locked momark_progress — Record the learner's progress server-side (shows on their account + syncs across devices). Call when a section is genuinely completed (sectiget_recap — Resume briefing for a returning learner — what they've covered, mastery levels, strong/weak topics, and recall questions to reactivate memorget_progress — Return the learner's progress for a course — the raw doc plus a display-ready summary (per-module sections done/total, boss status, overall recall_questions — Return spaced-recall questions drawn from the account's completed modules.list_artifacts — List the learner's saved Library artifacts (titles + metadata, newest first). Use at session start (with get_recap) to reference prior work get_artifact — Fetch a saved Library artifact's full content (by id, or by key+course). Use to pull a prior deliverable forward and build on it in a new chsubmit_artifact — Submit a lab deliverable. Stores it in the learner's Library (type='deliverable') and returns the module rubric so it can be reviewed againsget_certificate — Ripostiq certificate status. Pass `module` for that module's certificate (earned when its boss battle is passed); omit it for the course cerNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.