Agentic AI2026-04-02

Compétence IA Deep Research : Comment ChatGPT, Perplexity et Gemini remplacent des heures de recherche

Q: Best Real-World Use Cases

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

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.

Agentic AI

AM LAB

Synthèse d’Architecture // Executive Brief

Production Verified

Niveau d’expertiseSenior / Lead Architect

Temps d’intégration25 — 45 minutes

Stack technologiqueProduction 2026 Ready

Artur MoiseyevAuthor

Founder & AI Editor-in-Chief

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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.

Best Real-World Use Cases

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

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

Mots-clés :#Deep Research#AI Skills#Perplexity#ChatGPT o3#Gemini 2.5

Artur Moiseyev

Founder & AI Editor-in-Chief

Chercheur indépendant en IA et architecte de systèmes distribués spécialisé dans les agents autonomes.

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