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Lessons12
Beginner — Deterministic versus agentic workflow?
AI and LLM fundamentals
An agentic workflow allows a model to choose some steps based on observations. The surrounding application limits the actions, resources, and impact of those choices. It is useful for variable tasks but offers less predictable paths and call counts.
A deterministic workflow follows explicitly coded transitions for given inputs and recorded external outcomes. It can call nondeterministic services, but its orchestration rules remain controlled. It is the natural extension of validation, transactions, and…
An AI agent is software that uses a model to choose actions toward a goal, observes results, and decides what to do next within application limits. A chatbot describes a conversational interface; it may or may not contain an agent. A workflow defines the…
A hybrid workflow combines deterministic control with model-driven interpretation or planning. A state machine defines named states and permitted transitions. The state machine constrains what can happen even when a model proposes something else.
A production graph sits within an authenticated application, durable execution service, approved tools, checkpoint store, and monitoring system. LangChain supplies components; LangGraph controls stateful execution. A graph can be deterministic, agentic, or…
Agentic portion: interpreting wording, gathering missing information, and choosing among bounded read/search actions. Workflow portion: identity, required fields, approvals, transaction order, retries, and durable outcomes. LangGraph can coordinate the…
Requirements: Interpret input, prepare a draft, validate required fields, wait for review, execute once, and notify reliably.
- Deterministic: known rules and transitions. Best for permission, arithmetic, approvals, and business commits.
A decision framework is a repeatable sequence of questions that turns a requirement into justified architecture. Each added capability should solve a concrete gap. It prevents treating every client request as an opportunity to deploy every AI framework.
Yes when steps depend on durable business state, external events, review, timers, compensation, or repeated retries. Distinguish conversational agent state from the canonical business process. Choose a queue for independent jobs and a durable workflow…
Interview questions12
An agentic workflow allows a model to choose some steps based on observations. The surrounding application limits the actions, resources, and impact of those choices. It is useful for variable tasks but offers less predictable paths and call counts.
A deterministic workflow follows explicitly coded transitions for given inputs and recorded external outcomes. It can call nondeterministic services, but its orchestration rules remain controlled. It is the natural extension of validation, transactions, and…
A hybrid workflow combines deterministic control with model-driven interpretation or planning. A state machine defines named states and permitted transitions. The state machine constrains what can happen even when a model proposes something else.
AI and LLM fundamentals
Beginner — Deterministic versus agentic workflow?
Deterministic transitions follow defined code and recorded outcomes. Agentic transitions delegate some next-step choices to a model. I use AI for language uncertainty and deterministic control for business invariants.
An AI agent is software that uses a model to choose actions toward a goal, observes results, and decides what to do next within application limits. A chatbot describes a conversational interface; it may or may not contain an agent. A workflow defines the…
A production graph sits within an authenticated application, durable execution service, approved tools, checkpoint store, and monitoring system. LangChain supplies components; LangGraph controls stateful execution. A graph can be deterministic, agentic, or…
Agentic portion: interpreting wording, gathering missing information, and choosing among bounded read/search actions. Workflow portion: identity, required fields, approvals, transaction order, retries, and durable outcomes. LangGraph can coordinate the…
Requirements: Interpret input, prepare a draft, validate required fields, wait for review, execute once, and notify reliably.
- Deterministic: known rules and transitions. Best for permission, arithmetic, approvals, and business commits.
A decision framework is a repeatable sequence of questions that turns a requirement into justified architecture. Each added capability should solve a concrete gap. It prevents treating every client request as an opportunity to deploy every AI framework.
Modules9
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module
AI Engineering learning module