ADOPT
Use an existing solution with minimal changes when it reasonably covers the outcome.
Knowledge · Glossary
Public reusable definitions that reduce ambiguity across methodology, architecture, evidence, agents and operations.
Use an existing solution with minimal changes when it reasonably covers the outcome.
State of a tool validated and accepted for a defined use.
Record of a material architecture decision, its context, and rationale.
Repository-level operational contract translating DCP Flow, Blueprints, ADRs and Project/Repository Truth into immediate instructions for agents.
Structure of responsibilities, boundaries, and relationships in a solution.
Create a custom implementation when ADOPT, CONFIGURE, INTEGRATE, and EXTEND do not reasonably solve the outcome or an explicit material justification exists.
An available technical capability does not imply current authorization to use it.
Solve the outcome through supported configuration of an existing solution.
DCP operational default for reproducible and normally containerized deployments on directly controlled Linux infrastructure, unless a documented technical exception applies.
Digital Consulting Plus working and engineering methodology for organizing decisions, execution, evidence, and learning with AI.
Solution path —ADOPT, CONFIGURE, INTEGRATE, EXTEND, or BUILD— describing how a capability is delivered and shaping its validation profile.
Technical act of placing a version into an environment.
State of knowledge or a tool that should no longer be used for new work.
DCP Flow ADOPTED / EVOLVING BY EVIDENCE lightweight CRM stack. It is a standard option for a decoupled commercial lifecycle, but it is not mandatory and remains subject to Solution Discovery and Project Truth.
Proof of an observed or executed result; not an agent assertion.
Process of promoting proven learning from a project into reusable knowledge.
Agent that executes bounded technical work under defined context, scope, and permissions.
Execution contract defining objective, scope, boundaries, evidence, and acceptance conditions.
State of a tool still under evaluation or POC.
Expand a platform through supported extension mechanisms to cover real gaps.
State in which the technical and governance foundation is sufficient to start a functional vertical without rediscovering or rebuilding project foundations.
Difference between required capabilities and those available in an evaluated alternative.
Explicit boundary defining how far a lesson may be reused without overgeneralizing.
Critical end-to-end journey that must work and produce verifiable evidence.
Explicit transfer of context, scope, state, and evidence between people or agents.
Point where a material decision requires human acceptance or authorization.
Infrastructure as code: versioned, reproducible infrastructure definition.
Historical terminology: former umbrella term for implementing an existing solution; superseded by ADOPT / CONFIGURE / INTEGRATE / EXTEND / BUILD.
Explicit proposal to change or extend DCP Flow from verifiable learning.
Analysis of infrastructure, runtime, network, cloud, hosting, or IaC within available scope.
Connect existing capabilities or systems when the governed combination solves the outcome.
Engineering assistant that interprets and applies DCP Flow within available context and authorization.
Lifecycle through which knowledge moves from signal to proposal, validation, adoption, deprecation, or archive.
Evidence-derived learning that may stay local or be proposed for reuse.
Explicit, verifiable manual procedure used when Kai cannot execute an action directly.
Interface/protocol for exposing tools and resources to AI agents in a structured way.
Ability to understand system state through logs, metrics, traces, and signals.
Explicit transfer of a system from delivery into operations and support.
Pre-integration review for conflicts, regressions, known debt, and missing evidence.
Durable, verifiable project state that should prevail over temporary memory or assumptions.
Editorial process for turning institutional knowledge into safe, faithful public content.
Publishable content that preserves value without exposing sensitive or private details.
Checkpoint where evidence determines whether work may progress.
Validation profile derived from Delivery Mode, risk, lifecycle, and change surface; defines the QA/testing capabilities and evidence required.
Historical evidence reusable as precedent when context is comparable.
Controlled decision to make a version available to users or production.
Verifiable repository state: code, configuration, schema, history and evidence describing what actually exists.
Controlled return to a previous state when a delivery is unacceptable.
Reproducible profile of the runtime environment required by a solution.
Process of investigating real alternatives and proportionally evaluating ADOPT → CONFIGURE → INTEGRATE → EXTEND → BUILD before a material decision.
Set of concrete technologies used to implement an architecture.
Total cost of ownership including operation, maintenance, dependency, and evolution.
Pedagogical example used to explain a concept; not equivalent to real evidence.
Governed registry of known tools and their status within DCP Flow.
Recommended content sequence for a specific audience or learning objective.
Practical scenario showing when and how to combine parts of DCP Flow.
No terms found.