AI4LDILDF 2.0 Agentic Ecosystem

Integrative Learning Design Framework 2.0

ILDF 2.0 Agentic Ecosystem

A suite of AI-powered practitioner tools organized across five phases of the Integrative Learning Design Framework — grounding every design decision in learning science, human judgment, and the perspectives of the people you are designing with.

Agents that carry out multi-step work on their own are getting a lot of attention right now. Today this ecosystem is a set of tools with structured internal reasoning, and a system that chains them together: you enter one project, work through the tools that fit each ILDF phase, and each tool builds on what the last one produced. You lead every session. We aspire toward and are working on agentic features for the next bundle: tools that carry more of the routine design work forward on their own, with the design decisions still yours.

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Five-Phase Design Research Cycle

Free tools are open to everyone. Stack, Ecosystem, and Bundle tools stay fully visible here and unlock with purchase at ai4ld.com/products.

01Live

Informed Exploration

· Performance & Instructional Analysis →Free
· LXD Evidence Assistant →$47 tool
· Learner Analysis →Practitioner Stack
· AI Learning Context Lens →Free
· Multimodal Assessment Lab →Bundle A companion

02Live

Enactment

· Context & Task Analysis →Practitioner Stack
· AI Affordance Mapper →Free to try
· Learner Experience Simulator →Practitioner Stack
· Co-Design Partner →Bundle B companion
· Design Memory Partner →Bundle B companion
· Design Reasoning Partner →Bundle B companion
· Scoped Autonomy Coach →Bundle B companion
· Reward Design Simulator →Bundle A companion
· Learning Science Design Review →Practitioner Stack

03Live

Evaluation of Local Impact

· Formative Evaluation Designer →Practitioner Stack
· Learning Analytics Interpreter →Practitioner Stack

04Live

Evaluation of Broader Impact

· Why Did It Do That? →Bundle A companion
· KPI & Impact Measurement →Practitioner Stack
· Diffusion Planning →Practitioner Stack

05Live

Continuous Adaptation

· Adaptive System Design →Practitioner Stack
· Phase Re-entry Protocol →Practitioner Stack

A Cross-Phase Commitment

Designing with target populations — not just for them.

Every ILDF 2.0 tool includes a participatory design touchpoint — prompting practitioners to bring the voices, experiences, and perspectives of their learners and performers into the design process from Phase 1 onwards, not only at the evaluation stage.

Phase 1 — Informed Exploration · Now Available

Performance & Instructional Analysis

Before you design anything, determine whether training or instructional intervention is actually warranted.

A structured analysis grounded in Gilbert's BEM, Mager & Pipe, Rossett, and Cognitive Load Theory — producing a Learning Design Brief you can hand to a VP without apologizing for it.

Start Analysis

FreeTakes 5 minutes · No account required

See a full journey demo →Free|Import a saved journey

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Cause Analysis First

Six-cell BEM scan reveals whether the gap is environmental, motivational, or a genuine skill/knowledge problem — before you spend a dollar on content.

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Theoretically Defensible

Every finding cites a named framework. Gilbert (1978), Mager & Pipe (1984), Sweller (1988). Not “AI thinks.” Frameworks you can cite to leadership.

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AI Affordances Mapped

If training is warranted, the brief maps which AI affordance — Reasoning, Memory, Agency, or Human-AI Collaboration — fits the gap type and why.

Phase 2 — Enactment · Now Available

AI Affordance MapperFree to try

Once you know the intervention is warranted, pick your AI affordance — Memory, Reasoning, Agency, or Human-AI Collaboration — and get a structured design brief grounded in learning science, with a participatory design plan built in.

Open Affordance Mapper →

The ILDF 2.0 Practitioner Entry Stack

Eight steps from analysis to evidence

The complete cycle from analysis through formative evaluation — recognizable whether your home tradition is ADDIE, learning experience design, or user-centered design, and extended with the AI-era guardrails each step needs. Start anywhere; each tool works on its own and hands forward to the next.

1Phase 1

Performance & Instructional AnalysisFree

ADDIE: Needs assessment

LXD/UX: Problem discovery

2Phase 1

LXD Evidence Assistant$47 tool

ADDIE: Evidence-based design

LXD/UX: Research-informed design · lxdevidenceassistant.com

3Phase 1

Learner AnalysisPractitioner Stack

ADDIE: Audience analysis

LXD/UX: Learner personas & empathy research