AI research assistant · Research agent

AI research assistant for deep technical work.

Basis is an AI research assistant for technical investigations. It develops a question into evidence, explored branches, artifacts, and an exportable draft.

Use it at the start of a research thread, or when a chat assistant has reached the limit of its depth. Start a run, inspect what it found, continue in Basis, or hand the output to your preferred LLM, code agent, editor, or team.

The shape of a run

Question
A technical problem that needs more than a short answer.
Run
Iterative research with evidence, branch exploration, and checkpoints.
Output
A reviewable trail: findings, drafts, figures, calculations when needed, and exports.
Proof
Reviewed draft papers, proposals, and proof notes are on the examples page as full PDFs.

Good uses

A research assistant for the slow middle of technical work.

  • Deep research on a hard technical question. Ask the specific version of the problem and include the constraints that matter.
  • Literature review groundwork. Organize sources, claims, assumptions, and open questions before writing.
  • Research report drafting. Generate a reviewable draft and artifact package instead of a one-shot answer.
  • Technical handoff. Export the work for peer review, coding follow-up, manuscript polish, or continued research.

The limits

What Basis does, and what stays with you.

Every output is a hypothesis that still requires your review. Inspect the sources, the conclusions, and the artifacts before you rely on them; Basis cannot guarantee correctness, novelty, or completeness.

Basis creates a stronger research package for the next step. That next step can be another Basis cycle, a deep research pass on a follow-up question, or a handoff to the tools you already use.

The product works best when the question is serious enough that a quick answer would be too shallow, and concrete enough that a research run can make measurable progress.

Start with a question that deserves a real research run.

Review the examples, then run the first serious pass on a question of your own.

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