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Initialize Mastra AI Entity Agent Workflow
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build a Cross-Border Entity Resolution Workflow with Mastra AI and ZenML
Format
Code-aware
Lines
10
Sections
3
Linked challenge
Build a Cross-Border Entity Resolution Workflow with Mastra AI and ZenML
Prompt source
Original prompt text with formatting preserved for inspection.
10 lines
3 sections
No variables
0 checklist items
import { Agent } from '@mastra/core';
export const entityResolverAgent = new Agent({
name: 'Entity Resolver',
instructions: 'Disambiguate corporate entity names and match against GLEIF LEI records.',
model: {
provider: 'OPEN_AI',
name: 'gpt-4o',
},
});
// Create Mastra tool for LEI lookup...Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.