Say Hello to ADGIE

And wave goodbye to ADDIE

Evolve from ADDIE to ADGIE

Agent + Human
ADGIE AI Transformation

With it's 5 waterfall stages - Analyze, Design, Develop, Implement, and Evaluate - ADDIE represents a legacy model for instructional design. The good news is that when Human expertise and AI combine, ADDIE metamorphosizes into the ADGIE framework.

Analyze → Design → Generate → Individualize → Evaluate ⥄


ADGIE is agile and iterative. The framework integrates Human expertise with Agentic, Analytical, and Generative AI. Human instructional designers apply learning science, Bloom's taxonomy, and pedagogical expertise. AI accelerates analysis, content creation, personalization, and continuous improvement. With ADGIE, organizations produce rewarding and rigorous curriculum tailored for each learner.

AIs for ADGIE

Three AI capabilities power each stage of the curriculum development lifecycle.

Agentic AI

Extract insights autonomously and orchestrate lifecycle workstreams.

Agentic AI orchestrates workflows across the entire ADGIE lifecycle. In Analyze, it conducts SME interviews, examines behavior patterns, and drafts learner personas and competency frameworks. In Design and Generate, it coordinates content creation pipelines and manages review workflows. In Individualize, it oversees adaptive learning paths and manages learner journeys. In Evaluate, it triggers optimization workflows and routes insights to stakeholders.

Generative AI

Craft impactful learning content and create entire courses.

Generative AI creates content across multiple ADGIE stages. In Analyze, it drafts persona descriptions and concept maps from raw inputs. In Design, it transforms prompt playbooks into structured course outlines aligned with rubrics and competency models. In Generate, it drafts lessons, learning videos, exercises, hands-on labs, assessments, and scenario-based challenges. In Individualize, it produces personalized content tailored to different learner needs and paths.

Analytical AI

Adapt course content and learning paths to optimize outcomes.

Analytical AI provides data-driven insights across the ADGIE lifecycle. In Analyze, it examines behavior patterns, identifies skill gaps, and processes data to inform learner personas. In Design, it analyzes existing course performance to guide new curriculum decisions. In Individualize, it adapts learning paths based on performance and real-time engagement data. In Evaluate, it measures engagement metrics, skill progression, and assessment results.

ADGIE in Action

The ADGIE framework unites 5 stages, 3 AI types, and Human expertise.

  • Analyze

    AI
    Agentic AI conducts SME interviews, examines behavior patterns, and processes course requirements. It drafts learner personas, concept maps, and competency frameworks. Analytical AI identifies skill gaps and analyzes data to inform persona development. Generative AI helps draft persona descriptions and concept maps from raw inputs.
    Human
    Designers validate outputs using learning science and Bloom's taxonomy. They ensure personas reflect real learner needs and frameworks align with business objectives.

  • Design

    AI
    Generative AI transforms prompt playbooks into structured course outlines aligned with rubrics and competency models. Analytical AI analyzes existing course performance data to guide curriculum decisions. Agentic AI coordinates design workflows and manages review cycles.
    Human
    Designers curate source content, outline instructional flow, define learning objectives, and craft effective prompts. They ensure outlines meet pedagogical standards and organizational goals.

  • Generate

    AI
    Generative AI drafts lessons, learning videos, exercises, hands-on labs, assessments, and scenario-based challenges. Agentic AI coordinates content creation pipelines and manages review workflows between designers and LLMs.
    Human
    Designers refine AI outputs for clarity, accuracy, and pedagogy. They ensure content quality, verify technical accuracy, and maintain consistent voice and tone.

  • Individualize

    AI
    Analytical AI adapts learning paths based on performance and real-time engagement data. Generative AI produces personalized content variations tailored to different learner needs and paths. Agentic AI oversees adaptive learning paths and manages individual learner journeys.
    Human
    Designers oversee path alignment with learning objectives and outcomes. They monitor personalization quality and intervene when learners need additional support.

  • Evaluate

    AI
    Analytical AI measures engagement metrics, skill progression, and assessment results. Agentic AI triggers optimization workflows and routes insights to stakeholders.
    Human
    Designers interpret insights, validate data accuracy, and make strategic decisions that shape each curriculum iteration. They identify improvement opportunities and prioritize changes for future releases.

What We Deliver

Agentic Workstreams

We craft AI-powered workstreams for every phase of curriculum design that enable rapid development and tested perfromance

Scalable Content Creation

Prompt engineering rooted in learning science enables rapid, consistent content production.

Integrated Analytics

LMS integrations that track engagement, performance, and content relevance through APIs and webhooks.

Continuous Optimization

Automated systems that free designers to focus on expertise and strategy while delivering personalized learning and optimized content at scale.

  • How does AI work alongside Human instructional designers?

    AI accelerates analysis, content creation, and personalization. Human experts apply learning science, validate outputs, and ensure pedagogical quality. Our workstreams always require Human oversight and final approval.

  • How can ADGIE integrate with our existing tools, processes, and procedures?

    As a framework, ADGIE is flexible by design. We create workstreams that employ Agentic, Analytical, and Generative AI, and as a result, transform your processes and procedures. When applicable, these workstreams combine with your tools via APIs and AI Agents. Often, workstreams replace existing tools all together, saving your team thousands in subscription and licensing costs.

  • How long does implementation take?

    Our AI Agents assess your curriculum maturity in terms of not only content, but also tools, processes, and procedures. We then outline an action plan for curriculum transformation at scale. The average E2E timeline is 4 weeks for a curriculum development AI-powered workstream.

  • How do we see a demonstration of a workstream?

    Workstreams vary per client and are confidential. That said, we are happy to meet with you and demo a generic workstream that showcases Agentic, Analytic, and Generative AI for curriculum development.

Q & A

Answers to common questions

Client Corner

From months to days!

Deborah W (Client Confidential)

Our IDs now build whole courses in days instead of months! Slides, videos, quizzes, job aids, hands-on exercises, and exams are so much easier to create. More importantly, we can define and enforce style guides and learning standards. Our IDs spend more time reviewing and optimizing content. We produce 5x the number of courses than we did just 6 months ago.

Testimonial #2

Frankie Hollwood

here are some great things that are changing the world

Testimonial 3

Debbie

Going to make it great with procedures and processes.

testimony #4

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