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Search for comprehensive information on [TOPIC] using the following strategy: 1. Identify the 5 most important subtopics related to [TOPIC]. 2. For each subtopic, search and gather the most relevant current information. 3. Identify any conflicts or gaps between the results. 4. Synthesize into a structured report with: executive summary, key findings per subtopic, source quality assessment, and gaps that require further research. Focus on information from the last [TIMEFRAME].
[ENABLE COMPUTER USE IN GEMINI API] Complete the following browser-based task: Task: [DESCRIBE WHAT TO DO — e.g. visit this URL, fill out this form, extract this data, click this sequence] URL to start: [URL] Expected outcome: [WHAT SUCCESS LOOKS LIKE] Take a screenshot after each major step. If you encounter an error or unexpected state, describe what you see and how you plan to proceed.
Process the following document through this pipeline: Step 1: Extract all [DATA TYPE — e.g. names, dates, monetary amounts, action items] from the document. Step 2: Validate each extracted item against these rules: [LIST VALIDATION RULES]. Step 3: Flag any items that fail validation. Step 4: Output a structured summary with: extracted items, validation results, flagged items, and recommended next actions. Document: [PASTE DOCUMENT]
You are coordinating a team of AI subagents to complete the following task: [DESCRIBE THE OVERALL GOAL] Break this into parallel workstreams: - Subagent A: [TASK A] - Subagent B: [TASK B] - Subagent C: [TASK C] For each subagent, specify: the exact task, the expected output format, and any dependencies on other agents. Then synthesize all outputs into a final unified result. Show your coordination plan before executing.
Generate a [REPORT TYPE — e.g. weekly summary, competitive analysis, status update] from the following data sources: [LIST SOURCES OR PASTE DATA] Report requirements: - Audience: [WHO READS THIS] - Length: [TARGET LENGTH] - Format: [SECTIONS REQUIRED] - Key questions to answer: [LIST] - Tone: [PROFESSIONAL / DIRECT / EXECUTIVE SUMMARY STYLE] Auto-highlight anything that represents a significant change from the previous period.
Extract structured data from the following unstructured text. Output as a JSON object with the following schema: { "[FIELD_1]": "[TYPE]", "[FIELD_2]": "[TYPE]", "[FIELD_3]": "[TYPE]" } Rules: - If a field is not present, use null - If a field is ambiguous, use the most specific interpretation and flag it - Do not infer data that is not explicitly stated Text to process: [PASTE TEXT]