testing

Test and Refine Agent Collaboration

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Agents for Prompt-Driven Brand Sentiment & Affinity

Format

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Linked challenge

Agents for Prompt-Driven Brand Sentiment & Affinity

Prompt source

Original prompt text with formatting preserved for inspection.

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0 checklist items

Create a test suite that simulates a stream of diverse prompts, including those with mixed sentiment and specific brand mentions. Verify that the `PromptMonitor` correctly ingests them, the `BrandAnalyzer` accurately applies DeepSeek R1 for sentiment, and the `ReportGenerator` produces coherent summaries. Pay close attention to the handover of information between agents. Use Blaxel for observing agent interactions and potential bottlenecks. Provide examples of expected intermediate agent outputs at each stage.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.

Prompt diagnostics

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Purpose

testing

This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Agents for Prompt-Driven Brand Sentiment & Affinity

This challenge focuses on building a sophisticated multi-agent system using CrewAI to analyze brand mentions and sentiment within a stream of AI-generated prompts. The system will orchestrate specialized agents to monitor, categorize, and report on brand affinity. The core idea is to simulate an intelligent monitoring platform that provides actionable insights into brand perception and recommendation patterns from diverse data sources, leveraging CrewAI's role-playing architecture. Developers will design a collaborative agent team, where each agent has a distinct role, tools, and goals. For instance, a 'Prompt Ingestor' agent, a 'Brand Analyst' agent, and a 'Report Generator' agent will work in concert. The system will use DeepSeek R1 for its advanced reasoning capabilities to accurately interpret nuanced sentiment and complex brand associations. Integration with Zapier Interfaces will enable seamless data ingestion from various sources, while tool can facilitate custom workflow automation for alert triggers and data processing. Voiceflow will provide a conversational interface for real-time query and status updates, making the system highly interactive. Blaxel will serve as the underlying agent orchestration backbone, ensuring robust agent management.

Open challenge

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Browse library

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