Gregator researches, verifies, and organizes knowledge from dozens of sources into a clear learning path — with sources, confidence levels, and conflicting viewpoints included.
Here is an actual chapter from a Gregator course. Each claim links to a source. Each source has a credibility score. You read it like an article, not a conversation.
Naked mRNA is inherently unstable in biological environments. Ribonucleases in the bloodstream degrade unprotected mRNA within minutes, making direct injection ineffective for most therapeutic applications.[1] The solution is encapsulation in lipid nanoparticles (LNPs) — roughly 80–100nm spheres composed of ionizable lipids, helper lipids, cholesterol, and PEG-lipid conjugates.[2]
LNPs are taken up by cells through receptor-mediated endocytosis. Once inside the endosome, the ionizable lipid component becomes positively charged in the acidic environment (pH ~5–6), destabilizing the endosomal membrane and releasing the mRNA cargo into the cytoplasm.[1][3] This is where ribosomes can translate the mRNA into the target protein — in the case of COVID-19 vaccines, the SARS-CoV-2 spike protein.
Despite their effectiveness, LNPs introduce practical constraints. The lipid formulation is sensitive to temperature — the BNT162b2 (Pfizer-BioNTech) vaccine originally required storage at -70°C, though reformulation improved this to standard refrigeration for shorter periods.[4]
You bring the curiosity. Gregator does the reading. A few minutes later you have a structured course you can open, trust, and keep coming back to.
A question, a concept, a whole field. Gregator shapes it into a real learning path — a handful of chapters, each aimed at a piece of the picture worth owning.
For every chapter Gregator reads the web, the news, and academic databases, keeps only the strongest sources, and tells you why each one is credible — or why it isn't.
Every claim is tied to the source it came from. Where serious people disagree, Gregator tells you — it won't paper over the fight with a confident summary.
Move through the chapters at your own pace. Click into any claim to see the source. Ask Greg anything — grounded in your course, not a general chatbot. Your understanding compounds.
Different tools are good at different things. Gregator is the one you reach for when you want to actually understand — and still have something to come back to tomorrow.
A quick reply. You close the tab. In a week you'll only vaguely remember what it said — or whether it made it up.
A cited paragraph that points at sources. Useful, but the real reading still lives somewhere else, and you have to do it yourself.
A structured course you actually keep. Chapters, citations, conflict flags, and a companion grounded in your own research — not a general chatbot.
The course is the core. Underneath it, every source is scored, every claim is traceable, and your understanding compounds topic by topic.
Every source in your course has a panel like this. Source type (peer-reviewed, institutional, journalism, community), evidence quality, positive and negative signals, and any flags the scoring pipeline found — marketing language, missing citations, or single-source claims.
Academic databases, the open web, and news are read in parallel for each chapter. Duplicates are dropped and the strongest sources rise to the top before a single word is written.
Every topic you research connects to the others — prerequisites, contradictions, shared sources. Your understanding isn't a pile of tabs; it's a map you own.
Based on what you've been studying, Gregator suggests adjacent topics worth knowing — the things you'd never have thought to search for.
Ask anything about the material you've just generated. Greg answers from your sources and your claims, not from generic model memory. If the evidence is thin, Greg says so — and points you to the source that convinced it.
Greg is an AI companion loaded with the chapters, sources, and claims from your research — not generic model memory. When you ask something, Greg answers from the material Gregator already vetted for you, and points at the exact source behind every reply.
AI makes it easy to get answers. It doesn't make it easy to understand. Gregator is built to close that gap.
No engagement loops, no algorithmic feeds, no time-on-site metrics. Gregator succeeds when you learn something and leave.
Gregator builds interpretations grounded in sources — and when evidence conflicts or a source has weak backing, it tells you. You see where confidence is high and where it isn't.
Click any citation to see the source, its credibility tier, and what the scoring found. Nothing is hidden behind a "trust me."
Chatbots give you a quick reply and vanish. Gregator gives you a structured, cited course you can come back to — chapters, inline citations, and conflict flags where serious people disagree. It's not a reply. It's something you keep.
Live web search, news outlets, and academic databases are read in parallel for every chapter. Sources aren't pre-packaged; they're gathered the moment you submit a topic, so what you read reflects what's out there right now.
The disagreement is surfaced as a visible signal on the claim — not smoothed over with a confident-sounding summary. You see which sources support each side and how strong the evidence is for each.
Every claim is linked to its original source, and every source is scored for credibility — type (peer-reviewed, institutional, journalism, community), evidence quality, corroboration, and signals like promotional language. You can audit any claim in one click.
A multi-chapter document on one topic, built from dozens of sources, with claim-level citations and optional chat with Greg. Most courses finish in 2–4 minutes and span 3–8 chapters depending on complexity.
Yes, on the Pro plan. Courses export to PDF and Markdown so you can read them offline, archive them, or feed them into your own tools.
You can keep reading and chatting about every course you've already generated — nothing disappears. Generating new courses is paused until the next billing cycle, or you can upgrade to unlock more.
We store your generated courses and chat history so you can come back to them — that's the point. We do not train models on your data. Gregator uses several third-party LLM providers (DeepSeek, MiniMax, Gemini, Kimi) through their APIs; none of our usage opts in to provider training.
Every plan includes the full research pipeline, claim-level citations, and structured multi-chapter courses. Paid plans add ongoing capacity and tools for long-term learning.
Three courses on us. No credit card needed.