Tool or Technology
TT0183

Poe in Action

Compare Models, Build AI Bots & Orchestrate Multi-Model Workflows

Poe
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop functional proficiency in using Poe as a unified environment for working with multiple leading text, image, video, and audio AI models.
  • Apply systematic model-selection and prompt-engineering techniques to match different AI models with business, research, creative, analytical, and technical tasks.
  • Build customized Prompt Bots grounded in defined instructions and organizational knowledge sources.
  • Create multi-model AI workflows using Script Bots, Server Bots, Canvas Apps, API Bots, and tool-calling capabilities.
  • Apply appropriate privacy, source validation, cost, permissions, testing, and human-review controls when deploying Poe-based AI solutions.

Technology covered

PoeMulti-Model AIMulti-Bot ChatPrompt BotsKnowledge BasesScript BotsServer BotsAPI BotsCanvas AppsPoe APIFunction CallingMultimodal AI

Who should attend

  • Business & Knowledge Professionals
  • AI & Digital Transformation Teams
  • Business Analysts
  • Research & Strategy Professionals
  • Marketing & Content Professionals
  • Learning & Development Professionals
  • Automation Professionals
  • Product & Innovation Teams
  • No-Code / Low-Code Builders
  • Software Developers
  • AI Application Developers
  • Technical Leads & Solution Architects

Prerequisites & Participant Readiness

  • Basic understanding of Generative AI and conversational AI concepts
  • Familiarity with AI prompting is beneficial
  • Experience working with documents, research, content, or business information is useful
  • Basic awareness of different LLMs and AI model types is recommended
  • Basic Python, APIs, or JSON knowledge is helpful for Server Bot and API-related activities but not mandatory for the complete programme
  • Access to Poe should be available for practical exercises
  • Certain models and capabilities may depend on subscription level or compute-point availability
  • Completion of shorter Poe programmes is not required

TOC Modules

Concepts
  • Understanding Poe as a unified platform for accessing multiple AI models and applications
  • Understanding general-purpose, reasoning, coding, image, video, and audio AI models
  • Understanding official models versus creator-built bots and applications
  • Understanding context windows, modalities, capabilities, and model limitations
  • Understanding why one AI model is not optimal for every business requirement
Practical activities
  • Navigating Poe and exploring different AI categories
  • Running the same business request across multiple suitable models
  • Comparing differences in quality, speed, reasoning, and output style
  • Creating a basic model-selection framework for recurring tasks

Scenarios

Multi-Model Research to Executive Recommendation

Business Question → Model Selection → Research Model → Source Analysis → Second-Model Critique → Comparison → Evidence Validation → Executive Summary → Human Review

Participants use Poe's multi-model environment to divide a complex research requirement across suitable AI models, compare findings, challenge weak conclusions, and produce a more reliable management recommendation.

Organizational Knowledge to Specialized AI Assistant

Approved Documents → Knowledge Base → Prompt Bot → Structured Instructions → Source-Grounded Responses → Citations → User Testing → Refinement → Controlled Business Use

Participants create a specialized knowledge assistant that answers recurring organizational questions using approved source material while maintaining defined boundaries, citations, and human-validation practices.

Related programmes

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