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Alphabetical public term index for this language.

1,322 source-backed termsgenerated snapshot

Evals Snack Pack Run Card is a agentic workflows vernacular term for MCP session work in a policy-driven service network. It describes a run card that shows which step is public-safe and which step needs PLATPHORM_API_KEY, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Snack Pack Run Card after the sitemap had a link that forgot where school was. Then the rollback was ready before the ship button got sweaty.

Evals Snack Pack Tool Receipt is a agentic workflows vernacular term for MCP session work in a policy-driven service network. It describes a tool receipt that moves a task between people, agents, and tools without losing the reason for the work, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Snack Pack Tool Receipt after the route list looked like an open backpack. Then the agent showed its receipt and waited for a grown-up key.

Evals Sticker Deploy Seatbelt is a release engineering vernacular term for rollback plan work in a policy-driven service network. It describes a deploy seatbelt that ships changes in small, observable steps instead of one giant surprise, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Sticker Deploy Seatbelt after the trace link went missing. Then the operator found the bug before the dashboard made a dramatic face.

Evals Sticker Safety Pause is a agentic workflows vernacular term for Claws remediation work in a policy-driven service network. It describes a safety pause that keeps agent actions readable, bounded, and easy to audit, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Sticker Safety Pause after the policy file and API docs gave different answers. Then the trace told the story without spilling private data.

Evals Sticker Test Snack Pack is a ci/cd vernacular term for branch promotion work in a policy-driven service network. It describes a test snack pack that blocks risky work until the checks make sense, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Sticker Test Snack Pack after the preview page moved like a hallway traffic jam. Then the public-safe part stayed open and the protected action stayed locked.

Evals Sticky Note Artifact Receipt is a ci/cd vernacular term for branch promotion work in a policy-driven service network. It describes a artifact receipt that blocks risky work until the checks make sense, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Sticky Note Artifact Receipt after the build queue looked like a spelling quiz full of red marks. Then the release moved on without hallway chaos.

Evals Sticky Note Merge Guard is a ci/cd vernacular term for artifact upload work in a policy-driven service network. It describes a merge guard that keeps build, test, and deploy evidence in one explainable path, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Sticky Note Merge Guard after the route list looked like an open backpack. Then the agent showed its receipt and waited for a grown-up key.

Evals Sticky Note Ops Checklist is a devops vernacular term for on-call handoff work in a policy-driven service network. It describes a ops checklist that helps operators fix the problem without guessing or leaking secrets, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Sticky Note Ops Checklist after the deploy looked like late homework. Then the team fixed the step without blaming the snack table.

Evals Sticky Note Restart Receipt is a devops vernacular term for service restart work in a policy-driven service network. It describes a restart receipt that helps operators fix the problem without guessing or leaking secrets, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Sticky Note Restart Receipt after the policy file and API docs gave different answers. Then the trace told the story without spilling private data.

Evals Whiteboard Cache Blanket is a devops vernacular term for cache warmup work in a policy-driven service network. It describes a cache blanket that turns messy system clues into clear next steps, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Whiteboard Cache Blanket after the trace link went missing. Then the operator found the bug before the dashboard made a dramatic face.

Evals Whiteboard Config Compass is a devops vernacular term for queue depth work in a policy-driven service network. It describes a config compass that helps operators fix the problem without guessing or leaking secrets, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Whiteboard Config Compass after the trace link went missing. Then the operator found the bug before the dashboard made a dramatic face.

Evals Whiteboard Drift Detector is a devops vernacular term for queue depth work in a policy-driven service network. It describes a drift detector that turns messy system clues into clear next steps, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Whiteboard Drift Detector after the route list looked like an open backpack. Then the agent showed its receipt and waited for a grown-up key.

Evals Whiteboard Route Passport is a policy-driven architecture vernacular term for public DMZ work in a policy-driven service network. It describes a route passport that makes public reads easy while keeping protected writes behind the platform key, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

The team used Evals Whiteboard Route Passport after the route list looked like an open backpack. Then the agent showed its receipt and waited for a grown-up key.
Growth Marketing
Machine-assisted language draft

Expansion Score is a Growth Marketing term for expansion score work that turns campaign activity into source-backed learning, cleaner conversion decisions, and repeatable customer return paths. It helps people and agents name the signal, source, and safe next step without pretending an automation, campaign, DNS record, RFC, or network path did more than the evidence shows. Source context: HubSpot marketing glossary; Google Ads audience segments; User-supplied workflow and marketing transcript.

The team used Expansion Score after the offer needed a better reason to exist, and the public-safe part stayed open and the protected part stayed locked.
n8n Automation
Machine-assisted language draft

Expression Compass is a n8n Automation term for expression compass work that keeps node behavior, execution evidence, and sensitive data boundaries clear while a workflow moves from testing to production. It helps people and agents name the signal, source, and safe next step without pretending an automation, campaign, DNS record, RFC, or network path did more than the evidence shows. Source context: n8n node operations; n8n data flow; n8n executions.

The team used Expression Compass after the production execution refused to count the rehearsal, and the public-safe part stayed open and the protected part stayed locked.
GitOps and Release Engineering
Machine-assisted language draft

External Secrets is a GitOps term for a pattern that syncs secrets from a protected external store into the runtime. It helps teams, humans, and agents compare declared source state with running systems, then act without pretending a deployment did more than the evidence shows. Source context: Argo CD documentation; Flux documentation.

The team used External Secrets before lunch, so the release did not sprint into production wearing untied shoes.

Fallback Checkpoint is a Workflow Automation term for fallback checkpoint work that makes automation evidence visible before a workflow touches production data or spends the whole session plan. It helps people and agents name the signal, source, and safe next step without pretending an automation, campaign, DNS record, RFC, or network path did more than the evidence shows. Source context: Make scenario blueprints; Make webhooks; n8n data flow.

The team used Fallback Checkpoint after the mapping field picked the wrong URL, and the evidence stayed cleaner than the whiteboard after a surprise quiz.
Workflow Automation
Machine-assisted language draft

Fallback Mirror is a Workflow Automation term for fallback mirror work that makes automation evidence visible before a workflow touches production data or spends the whole session plan. It helps people and agents name the signal, source, and safe next step without pretending an automation, campaign, DNS record, RFC, or network path did more than the evidence shows. Source context: Make scenario blueprints; Make webhooks; n8n data flow.

The team used Fallback Mirror after the JSON blueprint looked like spaghetti with brackets, and the agent waited for proof before smashing the big green button.

Federated AI

/ˈfedəreɪtɪd eɪ aɪ/noun
AI & Technology

An approach to AI training and inference where models are distributed across multiple nodes or organizations without centralizing raw data. Each node trains on its local data and shares only model updates, preserving privacy while benefiting from collective learning.

The hospital network used federated AI to improve diagnosis models without sharing patient records.

Few-Shot

/fjuː ʃɒt/adjective
AI & Technology

A prompting approach where a small number of input-output examples are included in the context to guide model behavior on a new task. Few-shot prompting helps models understand the desired format, tone, or logic without any weight updates.

We gave the model three few-shot examples of our data format and it immediately understood the pattern.