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IDA: Learning Strategy & Blueprint Engine

Instructional DesignAI AgentCorporate Training
IDA: Learning Strategy & Blueprint Engine
Completed

Overview

Corporate training programs often suffer from misaligned instructional strategies, inconsistent curriculum design, and content that fails to account for adult learning principles. IDA was developed as an AI-powered instructional design agent that analyses learning needs and performance gaps, then recommends and blueprints the best-fit instructional strategy. Built on the ClawHub Skill Framework with structured prompt architecture, IDA encodes proven instructional design methodology including Bloom's taxonomy alignment, structured curriculum sequencing, and assessment strategy integration. Every recommendation is generated with human oversight, ensuring that subject matter expertise and organisational context remain central to the final learning design.

Key Features

  • Learning Objective Alignment: Generates measurable objectives using Bloom's taxonomy and ensures assessment alignment
  • Structured Curriculum Sequencing: Designs logical learning flows from introduction through to mastery and reinforcement
  • Assessment Strategy Integration: Recommends formative and summative assessment approaches aligned to outcomes
  • SME Content Structuring: Converts raw subject matter input into structured, learner-centred modules
  • Adult Learning Principles: Applies practical, workplace-focused learning strategies to improve engagement and retention
  • Clarity & Simplification Engine: Identifies content gaps, redundancy, and areas requiring instructional refinement

Development Approach

Discovery

Researched corporate L&D workflows and identified instructional strategy selection as a common pain point requiring domain expertise.

Design

Defined agent persona, structured prompt architecture, and domain-constrained reasoning guardrails based on proven instructional design methodology.

Development

Built skill using ClawHub Skill Framework with role-based system definition and iterative prompt refinement for Bloom's taxonomy integration.

Testing

Validated outputs against real-world corporate training scenarios for instructional alignment, accuracy, and practical applicability.

Launch

Published to ClawHub marketplace with documentation and usage examples for corporate training teams.

Optimisation

Ongoing prompt tuning and feedback-driven improvements based on user interactions and instructional outcome quality.

Tech Stack

  • ClawHub Skill Framework - Agent deployment and distribution platform
  • Structured Prompt Architecture - Domain-constrained reasoning design
  • Role-Based System Definition - Encodes instructional design persona and methodology
  • Iterative Validation Testing - Real-world scenario testing for instructional alignment

Development Updates

February 2026

Published to ClawHub Marketplace

IDA skill published and available for corporate training instructional strategy analysis and blueprint generation.

February 2026

Iterative Validation Complete

Tested against multiple real-world corporate training scenarios with consistent instructional alignment and practical output quality.

February 2026

Prompt Architecture Finalised

Structured prompt system with Bloom's taxonomy integration and adult learning principles embedded into domain-constrained reasoning.

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