How to Do Deep Research with AI in 10 Minutes

Arise · 2026-03-06 · 5 min read

Why Manual Research is the Wrong Use of Your Time

Good research takes 2-4 hours per topic. You open 30 browser tabs, skim 15 articles, lose track of which source said what, and spend more time organizing notes than actually understanding the subject.

The Research Agent compresses hours of research into a structured, sourced report you can use immediately — market analysis, competitor intelligence, technical deep dives, academic summaries, news aggregation.

What It Can Research

• Market size, growth trends, and investment activity
• Competitor analysis — features, pricing, positioning, weaknesses
• Technical explanations of how a technology works
• Academic literature and paper summaries
• Recent news aggregated from multiple sources
• Reddit and forum sentiment on any topic
• Company backgrounds and founder research
• Due diligence for investment or partnership decisions

Installation

curl -fsSL https://api.agentplace.sh/cli/install | bash
agentplace install research-agent

Basic Usage

agentplace run research-agent \
  --topic "AI coding assistants market 2026" \
  --depth standard \
  --output report.md

Research Depth Levels

# Quick check — 30 seconds, 5-10 sources
agentplace run research-agent --topic "your topic" --depth quick

# Standard — 2 minutes, 20-40 sources (recommended for most uses)
agentplace run research-agent --topic "your topic" --depth standard

# Deep — 8 minutes, 80-120 sources (for important decisions)
agentplace run research-agent --topic "your topic" --depth deep

# Exhaustive — 20+ minutes, 200+ sources (academic-grade)
agentplace run research-agent --topic "your topic" --depth exhaustive

Competitor Analysis Example

agentplace run research-agent \
  --topic "task management apps competitive analysis 2026" \
  --depth deep \
  --focus "pricing, features, user reviews, market share, weaknesses" \
  --format structured \
  --output competitor-analysis.md

Example Report Output

# AI Coding Assistants Market 2026

## Executive Summary
The AI coding assistant market reached $4.2B in 2026, growing 67% YoY...

## Market Size and Growth
- Current (2026): $4.2B
- Projected (2029): $12.8B
- CAGR: 45%
- Key drivers: developer productivity demand, IDE integration

## Key Players

| Tool | Users | Price | Key Differentiator |
|---|---|---|---|
| GitHub Copilot | 1.8M | $19/mo | Native IDE integration |
| Cursor | 400K | $20/mo | Full-file context editing |
| Codeium | 800K | Free tier | Cost advantage |

## User Sentiment (Reddit/HN)
Developers appreciate autocomplete quality but frustrated by...

## Market Gaps and Opportunities
1. Specialized agents for specific frameworks
2. ...

## Sources
1. [Source Title](url) — key insight from this source
...

Specialized Research Modes

# Technical explanation
agentplace run research-agent \
  --topic "how does RAG work in production LLM systems" \
  --format explainer \
  --depth standard

# News aggregation
agentplace run research-agent \
  --topic "AI regulation Europe 2026" \
  --sources "news" \
  --timeframe "30d"

# Market validation (for startup ideas)
agentplace run research-agent \
  --topic "AI-powered inventory management for small restaurants" \
  --focus "market size, existing solutions, user pain points, willingness to pay" \
  --depth deep

Research Use Cases by Role

Chaining With Other Agents

The Research Agent integrates naturally into broader workflows:

# Research a topic then generate social media posts about it
agentplace run research-agent \
  --topic "benefits of AI agents for small businesses" \
  --depth standard \
  --output research.md

# Use the research as context for content generation
cat research.md | agentplace run social-media-post \
  --platforms "linkedin,twitter" \
  --context-file -

Tips for Better Research Results

• Narrow your topic — "AI tools for e-commerce product photography" outperforms "AI tools for e-commerce"
• Specify what matters — --focus "pricing, user reviews, market gaps" directs the agent to what you need
• Use --timeframe 90d for rapidly evolving topics to get only fresh data
• Save to Markdown — the structured output drops directly into your writing workflow
• Run deep for decisions, standard for content — you don't need 120 sources to write a blog post

Conclusion

Deep research used to be the bottleneck before every important decision. Now it is a 10-minute task. Market validation, competitor analysis, technical understanding — all available on demand.

Browse Research agents on AgentPlace