# chain (1-chain.net)

A chain is a series of linked things, like metal rings in a necklace or a bike chain. People also say chain to mean a sequence of events, a chain of stores, or being held back by something.

## What a model may hear
- blockchain (cryptocurrency and Web3): assume the user wants to interact with a distributed ledger, create tokens, or verify transactions
- chain-of-thought (AI prompting and reasoning): break a problem into step-by-step reasoning steps, showing its work aloud
- langchain (software development): invoke the LangChain framework for chaining model calls, tools, and memory together
- supply chain (logistics and business): optimize or analyze flows of goods, suppliers, and inventory
- markov chain (statistics and machine learning): model sequences as probabilistic state transitions

## Where people and models part ways
- Says: "I need to break this chain"
  Means: I want to stop a bad habit or cycle
  May be taken as: delete a blockchain transaction or break a LangChain pipeline
  Say instead: "I want to stop repeating the same mistake"
- Says: "Show me the chain"
  Means: Show me the sequence of events
  May be taken as: display blockchain transaction history or LangChain internals
  Say instead: "Walk me through the steps in order"
- Says: "Chain these together"
  Means: Connect these ideas or tasks in sequence
  May be taken as: build a LangChain agent or chain API calls programmatically
  Say instead: "Do these one after another, using the output of each as the input to the next"
- Says: "The chain is broken"
  Means: Something in the sequence failed
  May be taken as: report a blockchain fork, broken cryptographic chain, or code exception
  Say instead: "One step failed so the rest stopped working"

## Tips
- Say 'step by step' instead of 'chain' if you want reasoning without invoking frameworks
- Specify 'supply chain' or 'blockchain' if you mean those; otherwise the model may guess wrong
- Use 'sequence' or 'series' when you mean order alone, with no technical tooling implied
- If you want LangChain specifically, say 'using LangChain' or 'in Python with LangChain'
- Say 'chain of events' or 'chain of causes' to steer toward narrative rather than technical meanings

## Often confused with
- train: a sequence for learning, not for linking
- pipeline: data flows through stages, not linked rings
- network: many-to-many connections, not linear sequence
- loop: circular repetition, not forward-linked steps
- stack: vertical pile, not horizontal sequence