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📚 Build Deep Research Agent: From Question to Insight Complex research rarely fits in one search box. The Deep Research workflow built with Dify Iterates, reasons, and sources until the answer is complete. 💡 Key workflow nodes include: 1) Start: capture the research topic and the loop budget 2)...

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Dify

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22,452 görüntüleme • 1 yıl önce •via X (Twitter)

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Is there a template for it? since the blog post doesn’t cover the prompts and all of the structured outputs

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Dify1 yıl önce

The template is now live on our Explore page:

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ksminnovation1 yıl önce

Can AI redefine scientific discovery? Dr. Tal Patalon explores OpenAI’s Deep Research in her latest Forbes article. 🎨 Future by Eduardo Kobra, provided by Eden Gallery. @TalPatalon @forbes @edengallery_

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You can now connect GitHub repos to deep research in ChatGPT. 🐙 Ask a question and the deep research agent will read and search the repo’s source code and PRs, returning a detailed report with citations. Hit deep research → GitHub to get started.
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You can now connect GitHub repos to deep research in ChatGPT. 🐙 Ask a question and the deep research agent will read and search the repo’s source code and PRs, returning a detailed report with citations. Hit deep research → GitHub to get started.

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Launch Week Day 2: the Consensus Research Agent. Consensus can now complete complex research tasks through multi-step tool calls. One prompt in. A full research workflow out.
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Launch Week Day 2: the Consensus Research Agent. Consensus can now complete complex research tasks through multi-step tool calls. One prompt in. A full research workflow out.

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🔍 Introducing Deep Research: Our most powerful feature yet! Your AI crypto agent can now explore the web in real time to answer your most complex questions. ⚔️ Conduct deep, comprehensive market research ⚔️ Analyze multiple sources to verify insights ⚔️ Extract hard-to-find data automatically ⚔️ Pause, resume, and view research sessions Kick off your research and watch as insights unfold. Your AI agent continuously gathers critical data while you prepare your next move.
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🔍 Introducing Deep Research: Our most powerful feature yet! Your AI crypto agent can now explore the web in real time to answer your most complex questions. ⚔️ Conduct deep, comprehensive market research ⚔️ Analyze multiple sources to verify insights ⚔️ Extract hard-to-find data automatically ⚔️ Pause, resume, and view research sessions Kick off your research and watch as insights unfold. Your AI agent continuously gathers critical data while you prepare your next move.

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1. The first AI Research Agent, deep research on any topic in one click. visit and sign up, input any topic you want to research for. Then you can get: → Write high-quality articles instantly → Back them with credible sources
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1. The first AI Research Agent, deep research on any topic in one click. visit and sign up, input any topic you want to research for. Then you can get: → Write high-quality articles instantly → Back them with credible sources

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Deep Research Combined With Powerpoint Our PowerPoint agent - gathers requirements - does deep research and gathers content - creates an outline for each slide - lets you make edits and upload a template and presents the final result in the form of a finished product!!
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Deep Research Combined With Powerpoint Our PowerPoint agent - gathers requirements - does deep research and gathers content - creates an outline for each slide - lets you make edits and upload a template and presents the final result in the form of a finished product!!

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Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:
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Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:

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Excited to finally release GPT Researcher MCP Server enabling LLM applications to perform deep research via the MCP protocol! 🥳 The MCP Server is an all in one server including web research tools from quick search to deep research. Check out the new repo here:
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Excited to finally release GPT Researcher MCP Server enabling LLM applications to perform deep research via the MCP protocol! 🥳 The MCP Server is an all in one server including web research tools from quick search to deep research. Check out the new repo here:

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First upgrade of PhoenixONE is here - featuring agent thought log. As the research agent is thinking, get a glimpse into the data, insight extraction, and underlying processes. On an average query, Phoenix Crypto Research & Deep Research performs rapid AI contextual search & analysis on 40-50 data sources. On the user growth side - Vietnam Wave 2 coming right up. Meanwhile, Turkey Wave 1 is about to start! $PHB #PhoenixAI #DeepResearch
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First upgrade of PhoenixONE is here - featuring agent thought log. As the research agent is thinking, get a glimpse into the data, insight extraction, and underlying processes. On an average query, Phoenix Crypto Research & Deep Research performs rapid AI contextual search & analysis on 40-50 data sources. On the user growth side - Vietnam Wave 2 coming right up. Meanwhile, Turkey Wave 1 is about to start! $PHB #PhoenixAI #DeepResearch

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This is an incredible end to end deep research workflow on Comet. Makes me realize how powerful and fast deep research can be with a hybrid client-sever compute architecture
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This is an incredible end to end deep research workflow on Comet. Makes me realize how powerful and fast deep research can be with a hybrid client-sever compute architecture

Aravind Srinivas

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Introducing Deep Research for legal in Harvey. Built on OpenAI's Deep Research API and Harvey's legal reasoning systems, Deep Research will enable a new class of legal agents for the world's top law firms and enterprise teams.
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Introducing Deep Research for legal in Harvey. Built on OpenAI's Deep Research API and Harvey's legal reasoning systems, Deep Research will enable a new class of legal agents for the world's top law firms and enterprise teams.

Harvey

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5⃣ Deep Research is even smarter, rolling out for everyone to try. Today, we're giving Gemini users the ability to try Deep Research, your personal AI research assistant, at no cost. 🧠✨ Gemini Deep Research has been upgraded to 2.0 Flash Thinking Experimental. With this model’s advanced reasoning, Gemini is even better at all stages of research, from planning to delivering even more insightful and detailed reports. Gemini Advanced and qualifying enterprise users have expanded access to Deep Research to save even more time on their most complex projects. Try Deep Research:
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5⃣ Deep Research is even smarter, rolling out for everyone to try. Today, we're giving Gemini users the ability to try Deep Research, your personal AI research assistant, at no cost. 🧠✨ Gemini Deep Research has been upgraded to 2.0 Flash Thinking Experimental. With this model’s advanced reasoning, Gemini is even better at all stages of research, from planning to delivering even more insightful and detailed reports. Gemini Advanced and qualifying enterprise users have expanded access to Deep Research to save even more time on their most complex projects. Try Deep Research:

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If doomscrolling X is part of your research workflow, we built something for you. Introducing Paperscrolling 🚀 Get the most trending research with key ideas, figures, and audio explanations from alphaXiv Briefs
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If doomscrolling X is part of your research workflow, we built something for you. Introducing Paperscrolling 🚀 Get the most trending research with key ideas, figures, and audio explanations from alphaXiv Briefs

alphaXiv

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Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:
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Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

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We built an auto research loop for DeFi strategy development so you can deploy winning strategies to paper trading and (soon) live execution. Inspired by Andrej Karpathy's auto research, but instead of optimizing LLM training it's optimizing backtests. The agent iterates until it finds strategies that actually work 👇

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ChatGPT Agent workflow is really powerful for productivity 1. Deep Research to find information 2. Operator to interact with pages 3. Capable of generating presentations Genspark does literally the same thing but much faster and with better results. More details below
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ChatGPT Agent workflow is really powerful for productivity 1. Deep Research to find information 2. Operator to interact with pages 3. Capable of generating presentations Genspark does literally the same thing but much faster and with better results. More details below

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Say hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back a detailed report with citations. See it in Codex below 👇
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Say hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back a detailed report with citations. See it in Codex below 👇

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Stop wasting hours on slides. 🛑 I’ve found the ultimate "Research to Presentation" workflow using NotebookLM and AiPPT. Transform deep research into professional decks in seconds. 🧵👇 #AiPPT #NotebookLM #AiWorkFlow #ProductivityHacks
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Stop wasting hours on slides. 🛑 I’ve found the ultimate "Research to Presentation" workflow using NotebookLM and AiPPT. Transform deep research into professional decks in seconds. 🧵👇 #AiPPT #NotebookLM #AiWorkFlow #ProductivityHacks

ALICE ⚡ | AI Growth Mentor

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