Before
Decide whether to build.
Challenge the request, investigate the performance problem, expose assumptions, and establish what success means.
Decision Intelligence™
Your learning decision agent.
Before you build the requested course, test the request. Decision Intelligence™ helps you examine the performance problem, question weak assumptions, and prepare a clearer production brief. Capture your project in the Decision Workbench, choose an analysis, and review the recommendation.
01 Challenge
02 Investigate
03 Align
04 Decide
05 Design
06 Execute
07 Observe
08 Prove
09 Improve
Part of The Lab™. Powered by LRI™. You choose each analysis and make the final decision.
The category
A second opinion before you commit to the build.
A stakeholder asks for a course because errors are rising. Enter the request, the evidence you have, and the result you need. The agent helps you examine whether the gap calls for training, performance support, a process change, or more investigation.
During
Carry the reasoning into the build.
Keep constraints, evidence, stakeholder decisions, design intent, and measurement requirements attached to the work.
After
Close the performance loop.
Bring workplace evidence back into the project and determine what changed, what did not, and what to improve next.
What you can do in the Workbench
Enter the context. Choose the analysis. Review the result.
Decision Memory
Record the request, problem, evidence, assumptions, constraints, and success measure. Save this Workbench project in your browser or download a copy.
Decision Trace
Build a readable record from the request, evidence, and recommended response you entered. Download the project to keep the reasoning with the work.
Challenge Mode
Ask the agent to pressure-test your diagnosis, identify weak assumptions, and suggest alternative explanations based on the details you provide.
Confidence Signal
Ask for an assessment of evidence quality, unresolved assumptions, and what information could change the recommendation. The score is an AI assessment, not a guarantee.
Authoring Handoff
Turn an approved response into a portable, vendor-neutral build brief. When practice fits, specify the work situation, observable decisions, criteria, feedback, transfer supports, and evidence. Unknowns stay visible.
Performance Loop
Enter observed behavior and operational results after launch. Ask the agent whether the evidence supports a claim of impact and what to examine next.
Practice-ready when the evidence calls for it
Give the builder the reason, the behavior, and the proof.
When practice is the right response, the Authoring Handoff spells out the real work situation, what the learner must decide or do, how good performance will be recognized, and what workplace evidence should follow. When a course or simulation is not justified, it keeps that distinction visible.
Performance problem → observable behavior → practice conditions → feedback → transfer → workplace evidence
Portable by design. Copy or download the brief into the authoring and delivery tools your team already uses. The practitioner reviews the recommendation and approves the build requirements.
How it fits in The Lab
The workspace, the agent, and the engine.
The Lab™
Your workspace for projects, learning design tools, evidence, and professional practice.
Explore The LabDecision Intelligence™
Your guided learning decision agent. Work with it in the Decision Workbench to test a request, review evidence, draft a handoff, or examine results.
Open the Decision WorkbenchLRI™
Learning Rewired Intelligence is the shared reasoning engine behind the analysis. It brings specialized learning guidance to the context you provide.
Understand what powers the agentYou direct the work. Choose which analysis to run and review each result. The Workbench saves project fields on this device when you select Save decision memory. Download a copy to carry the record into your next tool.
About Kip. Kip is the guide inside the experience. Decision Intelligence is the product, and LRI is the reasoning engine behind its analysis. Keeping those roles distinct makes the system easier to understand and trust.
Access model
Start free with the structure. Join The Lab for the intelligence and continuity.
Free Workbench
Capture a Decision Memory, create a basic Decision Trace, save the current project in your browser, and download a portable project copy. No account is required for these local tools.
The Lab
Unlock Challenge Mode, Confidence Signal, Authoring Handoff, and Performance Loop analysis, plus the Practitioner Lab and Professional Community. AI access is included within a practical member allowance.
Next premium layer
Account-level project tracking, long-term Decision Memory, richer handoff exports, longer context, and pooled team usage should unlock only after durable storage and usage metering are production-ready.
No prompt tax. Future limits should be expressed as complete Decision Runs, not tokens or individual messages. Members should understand the unit before they begin the work.
Why this matters
Production can be automated. Accountability for the decision cannot.
Commodity AI
- Generate faster
- Summarize faster
- Draft faster
- Publish faster
- Produce more
Decision Intelligence™
- Question the request
- Reason from evidence
- Expose uncertainty
- Connect decisions across the project
- Measure workplace performance
Decision Intelligence™
Bring the request. Leave with a clearer next step.
Start with Decision Memory. Use the free local structure without signing in, then join The Lab when you need AI-supported challenge, confidence, handoff, and performance analysis.