A Digital Consulting Plus methodology
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Index
Handbook
01DCP Flow: what it is and why it exists02How DCP Flow works03How to start a project04Kai and working with AI agents04AKai operational capabilities05Institutional Prompt Cookbook06Solution Discovery explained for humans07Architecture, stack, and technology ecosystem07ATool & MCP Registry07BHostinger MCP for DCP websites and hosting08Quality Gates, QA, security, and evidence08AQuality profiles and testing strategy09Git, branches, PRs, and multi-agent work10Deploy, release, support, and operational evolution10AContainer First and standardized host operations10BPractical Container First demo11How DCP Flow evolves12Real cases and lessons learned13How to teach DCP Flow14Practical DCP Flow use cases15End-to-end playbooks: Web and Laravel
Entry 1286%
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Entry 12PUBLIC HANDBOOK

Real cases and lessons learned

Normia, Rewi/MicroPOS, Kai, n8n, and DCP Web S9/S10: evidence, promotion, generalization boundaries, and EspoCRM evolution from validated integration to ADOPTED lightweight CRM stack.

Source & authority

Public explanation

PUBLIC HANDBOOK
Based on
Human Handbook 12 — Real cases and lessons learned
Related normative sources
  • NORMATIVE SOURCEStandard · Existing Solution Assessment
  • NORMATIVE SOURCEStandard · Quality Gates
Authority
Public explanation — NON-NORMATIVE
Summary

Normia, Rewi/MicroPOS, Kai, n8n, and DCP Web S9/S10: evidence, promotion, generalization boundaries, and EspoCRM evolution from validated integration to ADOPTED lightweight CRM stack.

Real cases show how DCP Flow changes from evidence rather than isolated theory. The value of a case is understanding context, decision, result, and the boundary of generalization.

Cases as Reference Evidence

Normia, Rewi/MicroPOS, Kai, n8n, and DCP Web S9/S10 illustrate different lessons: discovery before build, standardizing repeated patterns, separating capability from authorization, orchestration boundaries, and the evolution of EspoCRM integration into an ADOPTED lightweight CRM stack.

Key points
  • Context.
  • Evidence.
  • Decision.
  • Promotion and generalization boundary.

Reuse precedents correctly

A case does not automatically create a Standard. The precedent matrix helps decide what can be reused, what depends on context, and what should remain a Teaching Example or Reference Evidence.

Key points
  • Precedent ≠ rule.
  • Compare context before copying.
  • Record why it applies.
  • Preserve traceability to the original case.

Normia: intention is not executed evidence

Normia helped separate planned architecture, adoption, partial implementation, and actually executed behavior. The lesson reinforced that a README, design, or approved architecture is not automatically evidence, and maturity should match the real validation level.

Key points
  • Planned ≠ executed.
  • PROVEN / EVOLVING / EXPERIMENTAL.
  • Avoid maturity inflation.
  • Weight evidence correctly.

Rewi + MicroPOS: promote the pattern, not the product

Comparing two products separated reusable technical behavior from business-specific differences. This produced lessons around persistence, API, orchestration, INSTALL/UPDATE, runtime preservation, artifact validation, and browser QA without turning pricing, branding, or commercial fields into framework rules.

Key points
  • Repeated proven pattern.
  • Blueprint/Skills/Gates when justified.
  • Do not copy commercial specifics.
  • Gate Defect ≠ Product Defect.

Kai and n8n: boundaries that reduce ambiguity

The Kai case consolidated Technical Capability ≠ Operational Authorization. n8n integration evidence reinforced another boundary: the application/API owns business truth while the orchestrator coordinates workflows. Both cases show that an explicit boundary can be more reusable than a specific tool.

Key points
  • CAN DO ≠ AUTHORIZED NOW.
  • Manual Fallback when direct execution is unavailable.
  • API/application owns business truth.
  • Orchestrator owns coordination.
Contextual glossary＋
Reference Evidence

Historical evidence reusable as precedent when context is comparable.

Evidence Promotion

Process of promoting proven learning from a project into reusable knowledge.

Generalization Boundary

Explicit boundary defining how far a lesson may be reused without overgeneralizing.