Keplar is a workspace for asking questions of more than one AI model at once. You write a question. Keplar decides which models are worth consulting, collects their answers, finds where they agree and where they split, has a reviewer read a draft against the individual responses, and writes one answer for you. Under the answer you can open the evidence: which models ran, what each one said, and where they differed.
The idea in one paragraph
A single chatbot gives you one model's view, in one confident voice. Two models can answer the same question differently, and you usually only find out if you ask both. Keplar does that comparison for you and keeps the receipts. When the models agree, you see that. When they split, the answer says so and explains the competing positions instead of quietly picking one.
What you get
- One synthesized answer. Written from the responses, not copied from one of them.
- An agreement readout. How many of the models that responded took the same position. This is a count, not a probability.
- The models consulted. Which ran, which responded, which timed out or declined.
- Disagreements. Shown only when the models actually took more than one position.
- A verification note. What the reviewer found when it read the draft against the responses.
- Cited sources. Links the models themselves cited, labeled as such. Keplar has not opened or checked them.
What else is in the product
Keplar is not only a chat box. The same account includes Study mode (flashcards, quizzes and a plan from your notes), a slideshow creator, Create for building and publishing a personal site, images and video, connected apps through the Model Context Protocol, and agents for business work with spend caps and approvals. Which of these you can use depends on your plan; see plans compared.
What Keplar is not
Keplar is not a new AI model, and it is not artificial general intelligence or superintelligence. It is a layer on top of existing models. It does not guarantee that an answer is correct: models can share a mistake, and agreement is a signal rather than proof. It does not browse the web today, and it does not check the sources the models cite. The page What Keplar cannot do lists the limits plainly.
Where to go next
- Run through the quickstart.
- Learn to read the result in Read a Keplar answer.
- If you want the mechanics, start with the pipeline overview.
Related
- Quickstart: ask your first question: Ask your first question, open the evidence under the answer, and change how thorough Keplar is. About five minutes, no account needed.
- The pipeline, end to end: The eight steps between your question and one answer: understand, select, compare, disagree, verify, synthesize, and answer, with where each can stop early.
- What Keplar cannot do: The limits, stated plainly: it can be wrong when the models agree, it does not browse the web or check sources, and it is not medical, legal or financial advice.