Felo Fable Research: Deep Research Powered by Claude's Fable Model
Felo AI launches Fable Research, a deep research agent built on Anthropic's Claude Fable model. Conduct exhaustive AI-powered research in minutes, not days.
Anthropic just dropped Claude Fable — a model purpose-built for the kind of long-horizon, multi-step reasoning that serious research demands. And we've already put it to work.
Felo Fable Research is a new deep research agent inside Felo AI that harnesses the Claude Fable model to conduct exhaustive, source-backed investigations on any topic. What used to take hours of tab-switching and note-juggling now happens in a single conversation. You ask a question. Fable Research returns a structured, cited research brief.
Here's what it does, why Fable matters, and how to start using it today.
What Is Claude Fable?
Claude Fable is Anthropic's latest model, designed specifically for extended reasoning tasks. Unlike general-purpose chat models that optimize for speed and brevity, Fable is built to think longer, dig deeper, and produce more rigorous outputs.
The key differences:
- Sustained focus over long contexts — Fable can track dozens of sources, cross-reference claims, and maintain coherence across research that spans thousands of words.
- Stronger source attribution — it's trained to cite where information comes from, reducing the hallucination problem that plagues most AI research tools.
- Multi-step planning — Fable breaks complex questions into sub-questions, investigates each one, then synthesizes findings into a unified answer.
The tradeoff? Fable consumes more compute per query than lighter models. That's exactly why we built Fable Research as a dedicated agent — it channels Fable's capabilities into a focused research workflow instead of asking you to prompt-engineer your way through raw chat.
What Is Felo Fable Research?
Fable Research is Felo AI's deep research agent, powered by the Claude Fable model under the hood. It's not just a chat window with Fable plugged in. It's a structured research pipeline:
The Fable Research agent page on Felo AI — enter your research topic and let Claude Fable do the deep work.
- You submit a research question — anything from "How does CRISPR gene editing work in 2026?" to "Compare the regulatory frameworks for AI in the EU, US, and China."
- Fable Research decomposes the question into sub-topics and generates a search strategy.
- It searches, reads, and evaluates multiple sources in real time — weighing credibility, recency, and relevance.
- It produces a structured research brief with clear sections, source citations, and a summary you can actually act on.
Think of it as having a research analyst who never gets tired, never loses a tab, and never forgets to cite their sources.
What Makes It Different from Regular AI Search?
Most AI search tools give you a summarized answer with a few links tacked on. That works for simple questions. It falls apart for complex ones.
Fable Research is built for the questions that don't have a clean, one-paragraph answer:
| Capability | Regular AI Search | Fable Research (Claude Fable) |
|---|---|---|
| Source depth | 3-5 sources | Dozens of sources, cross-referenced |
| Output structure | Single summary | Multi-section research brief |
| Citation quality | Links appended | Inline citations with source evaluation |
| Question complexity | Simple factual | Multi-layered, comparative, analytical |
| Follow-up reasoning | Manual re-prompting | Built-in sub-question decomposition |
Who Is Fable Research For?
Researchers and analysts who need to quickly map a new domain. Instead of spending a day reading papers and compiling notes, you get a structured brief with citations in minutes.
Content creators and journalists who need factual depth. Fable Research surfaces the data, quotes, and source material you'd otherwise spend hours hunting for.
Product managers and strategists doing competitive analysis, market sizing, or technology evaluation. The multi-source comparison capability is where Fable really pulls ahead.
Students and academics exploring a thesis topic or building a literature review. Fable Research helps you identify the key papers, debates, and gaps in a field — with proper citations.
Anyone making a decision that requires real evidence. Buying a house? Choosing a tech stack? Evaluating a career move? Fable Research gives you the depth to decide with confidence.
How to Use Fable Research
Getting started is straightforward:
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Open Fable Research in your language:
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Type your research question. Be as specific or as broad as you need. Fable Research handles both.
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Review the research brief. You'll get a structured document with sections, citations, and source links.
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Go deeper. Ask follow-up questions to explore specific angles. Fable Research maintains context across the conversation.
Tips for Better Results
- Be specific about scope. "What are the top 3 approaches to X?" gets better results than "Tell me about X."
- Specify your audience. Adding "for a technical audience" or "for a board presentation" shapes the output.
- Ask for comparisons. Fable Research excels at structured comparisons — use that.
- Iterate. The first brief gives you the landscape. Follow-ups let you drill into what matters.
Why We Built Fable Research on Claude Fable
We tested every major model for research tasks. GPT-4o was fast but shallow on long investigations. Gemini had breadth but struggled with citation accuracy. Claude's earlier models were strong on reasoning but limited in sustained research depth.
Claude Fable changed the calculus.
When Anthropic released Fable, we immediately saw it was purpose-built for exactly the kind of work our research agent demands. The model's ability to maintain coherence across long, multi-source investigations — while keeping citations accurate — was a clear step forward.
But a great model alone doesn't make a great research tool. You need:
- A search infrastructure that can pull fresh, diverse sources in real time
- An agent framework that decomposes questions and manages multi-step workflows
- A multilingual platform that lets users research in their own language
That's the stack Felo provides on top of Fable. The model is the engine. Felo is the vehicle.
Fable Research and the Future of AI-Powered Research
The research workflow hasn't fundamentally changed in decades. You search. You read. You take notes. You synthesize. You repeat. AI has sped up individual steps — better search results, faster reading tools — but the overall process is still painfully manual.
Fable Research represents a different approach: let the AI do the research, not just the searching.
With Claude Fable's reasoning capabilities and Felo's agent infrastructure, Fable Research doesn't just find sources — it reads them, evaluates them, cross-references them, and produces a coherent brief that would take a human analyst hours to compile.
This is the direction we're heading. From search to research to analysis, all in one conversation.
Getting Started
Felo Fable Research is available now for Felo Pro users with a 7-day free trial. Since the Claude Fable model consumes credits quickly, we recommend planning your usage based on your actual research needs.
Pick your language and start researching:
- Fable Research (English)
- Fable Research (日本語)
- Fable Research (简体中文)
- Fable Research (한국어)
- Fable Research (繁體中文)
- Fable Research (Русский)
No more tab overload. No more incomplete literature reviews. No more "I'll come back to this later" bookmarks that you never actually come back to.
Ask a question. Get a research brief. Go deeper. That's the new workflow.
Try Felo Fable Research today → felo.ai