Deep Research Agent

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Deep Research Agent

Conduct deep research on a given topic

Deep Research

496 Agentic Workers

Premium Prompt

Expertly crafted & tested

What the agent does

These are the instructions your agent follows. It asks you for what it needs, then does the work in chat.

Goal

Produce a rigorously sourced, multi-section research dossier that explores the chosen topic from historical, technical, social, economic, ethical, and future-oriented perspectives, concluding with an executive summary in the user’s requested format.

Inputs to gather

• topic (defines the central subject)
• depth (scope/level of thoroughness)
• format (desired final output style: report, list, mind map, etc.)
• audience (knowledge level and interests)
• time_frame (period to emphasize: last 5 years, full history, future outlook, etc.)
• perspective (primary analytical lens: technological, sociological, economic, philosophical, etc.)
• scope (geographical focus: global, regional, specific countries)

Before doing any work, ask the user for these inputs in ONE message. Skip anything they already provided. If they tell you to decide, choose sensible defaults and say what you chose.

Workflow

Research and summarize the topic’s general background, key concepts, and historical evolution.
Identify leading researchers, organizations, and thought leaders; concisely describe their contributions.
Survey the latest advancements and trends within the specified time_frame, drawing from peer-reviewed papers, patents, and industry reports.
Compare competing schools of thought, methodologies, or frameworks, noting strengths, weaknesses, and distinctive views.
Compile case studies and real-world applications, assessing impact and effectiveness.
Examine major challenges, criticisms, and unresolved issues; outline current expert debates.
Perform a meta-analysis of academic and industry literature to extract key statistics and patterns.
Map interdisciplinary linkages—how the topic shapes and is shaped by adjacent fields.
Analyze economic and market implications: investments, commercialization, and business models.
Evaluate ethical, social, and policy considerations, highlighting regulatory landscapes.
Critique prevalent research methodologies, noting design strengths and validity concerns.
Create a glossary tailored to the audience’s level.
Identify research gaps and opportunities for further study.
Build a timeline of pivotal events and breakthroughs.
Compare geographical and cultural variations within the defined scope.
Map stakeholders and power relationships, including financial interests and alliances.
Analyze institutional structures—funding, education, and initiatives—that enable or hinder progress.
Review media portrayal and public perception, pinpointing misconceptions and narrative frames.
Assess accessibility, inclusivity, and equity issues.
Conduct competitive intelligence on commercial actors: positioning, IP, and strategies.
Explore epistemological foundations through the chosen perspective.
Assess sustainability and environmental dimensions.
Examine pedagogical approaches and curricula.
Investigate psychological and cognitive factors influencing adoption and understanding.
Develop systems-thinking predictive scenarios, marking potential inflection points.
Contrast sector-specific manifestations (academia, industry, government, non-profit).
Trace linguistic and semantic evolution of key terms over the time_frame.
Evaluate standardization, benchmarks, and quality metrics.
Analyze contributions to global challenges and alignment with SDGs.
Assess geopolitical dynamics: cooperation, competition, security.
Perform network analysis of citations and collaborations.
Forecast emerging subfields and disruptions for the next specified period.
Create a conceptual map visualizing relationships among key concepts and applications.
Design an audience-centric assessment framework for evaluating new advances.
Benchmark implementations across regions, industries, or contexts within the scope.
Synthesize findings into an executive summary in the requested format, ensuring clarity for the audience.

For very long reports, deliver in staged chunks and ask the user whether to proceed after major milestones (e.g., after step 12, step 24, and step 36).

Output

A comprehensive research dossier containing:
• Sectioned narrative following the 36-step structure, each with citations.
• Glossary, timeline, stakeholder map, and benchmark table.
• Conceptual map (use text-based diagram or mermaid syntax).
• Executive summary formatted per the user’s specified format.

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Key Benefits

Discover how our intelligent prompt chain enhances your workflow

Comprehensive Understanding

The structured approach to analyzing [TOPIC] ensures users gain a deep and broad understanding of the subject, covering historical evolution and key concepts, which is vital for informed decision-making and research.

Identification of Influencers

By summarizing contributions from influential researchers and organizations, users can connect with thought leaders in the field, enhancing networking opportunities and gaining insights from established experts.

Awareness of Latest Trends

Investigating the latest advancements and trends provides users with up-to-date knowledge, allowing them to stay competitive and informed about innovations and shifts in the industry related to [TOPIC].

Critical Analysis Skills

The comparative analysis of different schools of thought fosters critical thinking skills, enabling users to evaluate methodologies and frameworks, leading to more robust research outcomes and better application of theories.

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Expert-Crafted

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Time Saved

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ROI Impact

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Frequently Asked Questions

One click and your agent runs it. Sign in, pick which of your agents should take it on, and it starts the skill in chat — asking you for whatever it needs along the way. No copying, pasting, or browser extension.

Yes. The skill is written as model-agnostic instructions, so it runs on whichever model your agent is configured with, Claude included.

Our prompt chains are expertly crafted and tested across multiple AI models. Unlike single prompts, our chains combine multiple optimized prompts that work together, including specific instructions, context layers, and output formatting. Teams using our prompt chains report 3x better results and seamless collaboration.

The Agentic Workers dashboard automatically tracks your prompt usage, time saved, and output quality. You can view your history and productivity gains directly in your dashboard.

Yes! While the prompt chain is optimized out of the box, you can modify variables and parameters to match your specific use case. The base structure ensures quality results even with customization.

Users report saving 4-6 hours per week using this optimized prompt compared to traditional methods. The structured output and refined instructions eliminate the need for multiple iterations.

We're constantly expanding our library with new prompt chains and features. We release new optimized prompts weekly based on user requests and industry needs. Premium members get early access to new prompts and can request specific prompt chains for their use cases.

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