Human-controlled AI

AI can propose. The researcher remains accountable.

Research Copilot works inside bounded project context and presents suggestions for review instead of silently rewriting the scientific record.

Open SciCollab

The problem

Generic AI is fast precisely where scientific context is thin.

A fluent answer can ignore project decisions, overstate evidence or blend suggestions into authored work. SciCollab constrains assistance to a visible context and a reviewable change.

  • Answers detached from project decisions
  • Sources and limitations are unclear
  • AI text enters the record silently

A working sequence

Ask, inspect, compare, decide.

  1. 01

    Scope

    Choose the project objects in context.

  2. 02

    Propose

    Generate a bounded suggestion.

  3. 03

    Inspect

    Review sources, assumptions and limitations.

  4. 04

    Decide

    Accept, edit or reject the visible diff.

Early-access controls

Assistance designed around scientific accountability.

01

Bounded context

Use selected project material, not an invisible blend.

02

Source visibility

Show the evidence used by a proposal.

03

Limitations

Surface uncertainty and missing context.

04

Visible diff

Compare proposed and current content.

05

Explicit acceptance

No research change is silently accepted.

06

Activity record

Retain who reviewed the proposed change.

Product evidence

The proposal is visible before it becomes part of the work.

SciCollab · Project context · 4 objects
Research CopilotProject context · 4 objects
Source · Evidence 18Limitation · one dataset

+

Proposed revisionAccept · Edit · Reject
A faithful representation of a contextual proposal with source, limitation and diff review.

SciCollab

Use AI without making it the author of the research record.

Open SciCollab to see the assistance currently available to your workspace.

Open SciCollab