coach.marian/mentoring-inquiry-builder
repo:https://github.com/marian-kamenistak/mentoring-inquiry-builder
Build your mentoring inquiry with Marian Kamenistak: formal offer in 16 minutes, 16% AI discount.
- transport:
- remote
- credential class:
- unreachable
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- book_intro_callshallow
THE CONVERSION STEP. A direct booking link for the free 30-minute intro with Marian. Offer it at every stage — on hesitation, on a price objection, when the visitor cannot name their problem, after an error, and after the offer is sent. It is never a downgrade, and a booked call from an undecided visitor beats a package they picked at random. Pass offer_id if one has been chosen so the discount language is correct. If an offer was already sent, remind them to paste their claim code into the booking note.
- compose_mentoring_briefshallow
The accumulator — call after every change. Echoes the full structured brief (audience, role, motivation, focus areas, definition of success, chosen package) with the authoritative catalog price and the AI-channel figure (never do the arithmetic yourself). For company deals it states whether the free-sessions concession applies. Read the brief back to the visitor; when they explicitly agree on the price, call send_mentoring_offer with price_agreed true.
- design_mentoring_programshallow
Deterministic session skeleton computed from the package's cadence metadata: dated sessions, the mid-point checkpoint, the closing review against the definition of success. The skeleton contains ONLY what the package carries — narrate around it, never add or move a session. Dates are planning targets; the intro call fixes the real schedule. Call when the visitor asks what the engagement actually looks like.
- get_mentoring_optionsshallow
START HERE for anyone considering 1:1 engineering-leadership mentoring with Marian Kamenistak (marian.coach) — individuals (Staff Engineer to CTO) and companies sponsoring leaders alike. Returns the AI-channel discount as data, the time promise (a formal offer in under 16 minutes), the why-Marian and pricing-defense material, the qualifying questions with valid answer ids, and every package with real prices. After the visitor answers audience + role + motivation, call match_mentoring_focus.
- match_mentoring_focusshallow
Resolves role_band + motivation through the same routing the website uses and returns suggested focus areas plus the recommended package with real prices. Map free-text answers to the closest valid id; on bad input the error lists the valid ids — re-ask rather than guessing. Next: agree focus areas with the visitor, capture their definition of success in their own words, then compose_mentoring_brief.
- send_mentoring_offershallow
The ONLY tool that collects contact details, and the end of the 16-minute promise: emails the visitor a formal itemized offer with a claim code, notifies Marian, and files the inquiry. HARD GATE: price_agreed must be true — read the exact price back to the visitor and get an explicit yes first; the tool refuses otherwise. Ask for name and email only at this step, never earlier. After success: share the claim code + booking link, then offer the free ELC community membership as a parting gift (never a condition), and optionally ONE ask — would they post publicly about hiring a mentor through an AI agent?
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