The document is a comprehensive training and marketing guide for the "Bot Building — Mastery Workshop" run by Mario Castelli and his team. It explains why participants should build AI bots (time savings, revenue, client acquisition), outlines a competition with cash and Genesis program rewards, and describes the Genesis membership benefits. Ground rules emphasize commitment, non‑expert status, and a pragmatic approach. The workshop is split into four days covering foundational concepts, live bot‑building demos, reviews, and an AI expert roundtable. Central to the methodology is the S.E.A.K. formula (Structure, Examples, Ask AI, Knowledge) and a set of four "master keys" for bot creation. The guide presents a taxonomy of bot types, a two‑axis classification (Generative vs Analytical, Interactive vs Node) with modifiers (Polished/Unpolished, Autonomous/Non‑Autonomous), and detailed template structures for various bots (email writing, asset generation, reasoning, interactive workflow). It stresses the importance of high‑quality examples, bootstrapping synthetic data, and iterative refinement (Expand → Contract → Refine). Throughout, testimonials and marketing copy showcase past successes, positioning the workshop as a high‑value, results‑driven opportunity.

Topics

Why Build Bots – Value Proposition

Lists concrete benefits of bot building such as time savings, revenue generation, client acquisition, and operational efficiency.

Competition & Rewards Structure

Details the contest prizes (Genesis memberships, cash) and hiring promise to motivate participants.

Genesis Membership Ecosystem

Outlines access to bots, weekly calls, archives, and a community of 250+ AI marketers.

Ground Rules & Participant Expectations

Sets expectations about commitment, non‑expert status, use of Poe, and the importance of boring, obvious work.

Workshop Flow & Schedule

Chronological breakdown of the four‑day workshop: foundations, live demo, bot reviews, expert roundtable, and bot access date.

S.E.A.K. Formula – The Core Bot‑Building Methodology

Introduces the four pillars: Structure, Examples, Ask AI, Knowledge, and explains the ultra‑dumb crash course steps.

Bot Taxonomy & Multi‑Dimensional Classification

Defines bot types (copywriting, asset, interactive, node, etc.) and classifies them on a 2×2 matrix (Generative↔Analytical, Interactive↔Node) with modifiers.

Template Structures for Different Bot Purposes

Provides concrete prompt templates for Email Writing, Asset Generation, Reasoning, and Interactive Workflow bots, listing required fields (IDENTITY, PURPOSE, EXAMPLES, etc.).

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