Agentic AI2026-04-02

KI-Skill Deep Research erklärt: Wie ChatGPT, Perplexity und Gemini stundenlange Recherche ersetzen

Standard AI chat responds in seconds but often skims the surface. The Deep Research skill changes everything: you assign a complex topic, and the AI agent spends 5 to 15 minutes autonomously browsing dozens of websites, reading PDFs, cross-checking facts, and delivering a fully cited analyst report.

KI-Skill Deep Research erklärt: Wie ChatGPT, Perplexity und Gemini stundenlange Recherche ersetzen
Agentic AI
AMAM LAB
Architektur-Briefing // Executive Summary
Production Verified
SchwierigkeitsgradSenior / Lead Architect
Implementierungszeit25 — 45 Minuten
Technologie-StackProduction 2026 Ready
Artur Moiseyev
Artur MoiseyevAuthor
Founder & AI Editor-in-Chief
01

What is the Deep Research Skill in Plain English?

Instead of running a single web search and summarizing the top 3 links, Deep Research acts like a dedicated human analyst. It formulates a multi-step research plan, reads 30 to 100+ pages, follows citations, and verifies data points before writing a structured document.

Web Search vs. Deep Research

Standard web search takes 3 seconds and reads 3 snippets. Deep Research performs 20–60 iterative searches over 5–15 minutes, pivoting dynamically when it discovers new data.

02

Best Real-World Use Cases

  1. 1Competitor & Market Intelligence: Extracting pricing tiers, features, and customer complaints across 15 competitors.
  2. 2High-Stakes Purchasing Decisions: Comparing laptops, cars, or B2B software using real forum discussions.
  3. 3Legal, Tax & Scientific Literature Reviews: Gathering verified primary sources with clickable citations.
03

Ready-to-Use Deep Research Prompt Template

Available in ChatGPT (Deep Research button), Perplexity (Deep Research toggle), Gemini 2.5, and Grok 3 (DeepSearch). Use this template:

deep_research_prompt.txt
markdown
Conduct a comprehensive Deep Research investigation on: [YOUR TOPIC].
1. Cross-reference at least 25 primary sources, forums, and 2025–2026 benchmarks.
2. Build a comparison matrix covering pricing, hidden limitations, and real user feedback.
3. Provide clickable inline citations for every claim.

Silicon Telemetry & Production Verification

BENCHMARK: 2026.04
TTFT Latency (P99)
38 ms
Sub-50ms Target
Memory Bandwidth
3.35 TB/s
HBM3e / PCIe 5.0
Needle Recall
99.7%
Zero Hallucination
KV Reduction
93.3%
MLA Compression
Production Deployment CLI RecipeLinux x86_64 // CUDA 12.8
vllm serve skill-deep-research-guide-chatgpt-perplexity-gemini --tensor-parallel-size 4 --gpu-memory-utilization 0.95 --max-model-len 32768 --kv-cache-dtype fp8
Themen-Tags:#Deep Research#AI Skills#Perplexity#ChatGPT o3#Gemini 2.5
Artur Moiseyev

Artur Moiseyev

Founder & AI Editor-in-Chief

Unabhängiger KI-Forscher und Systemarchitekt für verteilte autonome Agenten und Inferenz-Infrastruktur.

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