Operator-ready prompt for reuse, tuning, and workspace runs.
This item is set up for developers who want to inspect the original language, fork it into Workspace, and adapt the evidence model without losing the source prompt structure.
Implementation handoffs, eval setup, and prompt tuning where you need the original structure intact.
Inspect first, copy once, then fork into Workspace when you want variants, notes, and model settings attached to the same run.
Swap domain facts, examples, and any hard-coded entities for your own context.
Tighten the evidence or verification requirement if this is headed toward production.
Decide which failure mode you want to evaluate first before you branch the prompt.
This prompt already carries implementation detail, tool context, and a final-output instruction. Keep that structure intact when you tune it, or your comparison runs get noisy fast.
Open this prompt inside Workspace when you want a live iteration loop.
Copy for quick reuse, or run it in Workspace to keep prompt variants, model settings, and prompt-history changes in one place.
Structured source with 1 active lines to adapt.
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Prompt content
Original prompt text with formatting preserved for inspection and clean copy.
Using CrewAI, define a team of agents with specific roles (e.g., 'Trend Analyst', 'Audience Insight Agent', 'DEI Auditor', 'Content Strategist'). Detail each agent's goal, backstory, and the specific tasks they will perform. Explain how these agents will collaborate to create a comprehensive content strategy.
Adaptation plan
Keep the source stable, then branch your edits in a predictable order so the next prompt run is easier to evaluate.
Preserve the role framing, objective, and reporting structure so comparison runs stay coherent.
Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.
Check whether the prompt asks for the right evidence, confidence signal, and escalation path.
Copy once for a pristine source snapshot, then move the prompt into Workspace when you want variants, run history, and side-by-side tuning without losing the original.
Prompt diagnostics
Quick signals for how structured this prompt already is and where adaptation work is likely to happen first.
This prompt is mostly narrative and instruction-driven, so you can adapt examples and output constraints first without disturbing the structure.
GPT-5 & CrewAI for Adaptive Content Strategy & DEI Analysis
Inspired by discussions around media content creation, fellowships for impactful content, and diversity representation in media, this challenge focuses on building an intelligent content strategy and diversity analysis system. You will orchestrate a role-based agent team using CrewAI, powered primarily by GPT-5 for advanced creative generation, trend analysis, and nuanced ethical assessments. This system will proactively identify emerging content trends across various media platforms, analyze audience engagement, and critically evaluate content for Diversity, Equity, and Inclusion (DEI) aspects. Agents will integrate with tools to gather real-time content performance metrics and apply adaptive thinking budgets, dynamically allocating computational resources based on the complexity of the trend analysis or the sensitivity of DEI recommendations. The ultimate goal is to generate data-driven, creatively impactful, and inclusively designed content strategies.
Use the challenge page to recover the original task boundaries before you tune the prompt. That keeps your variants grounded in the same evaluation target instead of drifting into a different problem.