Can you explain the difference between S/4HANA core behavior and side-by-side extension behavior?
Adaptive SAP + AI Learn
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Start with SAP, ABAP Cloud, RAP, BTP, Clean Core, AI, grounding, RAG, MCP, agents or SAP+AI architecture. The environment adapts by lens, intent and evidence state without courses, modules, quizzes or fake progress percentages.
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Start intent
Choose the architecture surface.
Selected: New to SAP
Optional profile
Tune the explanation lens.
Diagnostic
Mark what is already clear.
Can you trace a Fiori action through OData, RAP behavior, authorization, validation, and persistence?
Can you say what grounding changes in an LLM answer and what it does not guarantee?
Can you identify where human approval belongs before an AI tool writes to SAP?
Can you separate fact, architecture implication, proposal, and unknown in a design review?
Can you choose when integration should be synchronous, asynchronous, event-driven, or workflow-led?
IntroducedUnderstoodExplainedPracticedAppliedChallenge validated
Build the first useful map of SAP systems, roles, extensions, and evidence.
- Learn
- See
- Try
- Decide
- Validate
- Explore
Choose one extension candidate and explain whether it belongs in core, side-by-side BTP, or integration.
Explain the concept in plain language and reveal the minimum viable mental model.
Trace Flow
S/4HANA core
- What
- The transactional digital core where standard business behavior, master data, and financial/logistics processes live.
- Why
- It anchors process truth and should not be casually modified when side-by-side extension is safer.
- Owns
- Core business records and standard process execution.
- Failure
- Unreleased dependency or direct modification can raise upgrade, support, and governance risk.
- Trust
- Trust depends on official APIs, auditability, and business ownership.
Break Architecture
Remove a control and inspect the consequence.
What-if mode
Separate fact, implication, proposal and unknown.
Choose a what-if and classify the statement before acting.
Clean Core simulator
Standard, released API, BTP, integration or proposal.
Start from standard capability. Escalate only when evidence shows the gap.
Validate in Evidence ExplorerBTP + AI builders
Compose without executing anything.
IdentityReleased APIWorkflowGroundingHuman approvalAudit
The builder is simulation-only and public-safe.
RAG visual lab
Question, retrieve, generate, check evidence.
QuestionRetrieverContextGeneratorEvidence check
Grounding can help; it does not make every answer true.
Evidence challenge
Practice claim boundaries.
A prototype exists, so production readiness is proven.
Reveal classification
PartialA prototype can prove feasibility, but production readiness also needs operational, security, performance, and governance evidence.
A chronology shows one architecture caused the next one.
Reveal classification
No answerChronology can show sequence. It does not prove causality unless the evidence explicitly links cause and decision.
A public-safe simulator can create SAP production data.
Reveal classification
ConflictThe Learn and Studio boundaries explicitly say simulators are non-executing and public-only.
Architecture replay
Replay learning decisions into Studio evidence.
Learn, Studio and Ask stay separate but connected: Learn builds the mental model, Studio validates public evidence, and Ask handles bounded questions.
Architecture Playground
Change one rule. See the architecture consequence.
Deterministic, rule-governed simulation — no real SAP system, no canonical data mutation. Pick a baseline, apply a change, see baseline vs. result.