Research question
We define the question and its boundaries before assigning tasks to AI. The question determines which evidence and methods count.
AI for Research
Integrate AI into research work transparently, with source discipline, institution-specific rules, documentation, verification, and a real human review gate.
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We define the question and its boundaries before assigning tasks to AI. The question determines which evidence and methods count.
Search and triage focus on real, verifiable sources; model output is not a source. Traceability and source-quality decisions begin here.
We compare evidence, methods, and disagreements while keeping every claim tied to real sources. AI may organise ideas, but it cannot confer authority.
Design, assumptions, checks, and decision points are specified before analysis or coding. This makes AI assistance testable, explainable, and easier to debug.
AI is used selectively for structure, clarity, or iteration while human authorship remains intact. Its use is documented and disclosed according to institutional rules.
Every critical claim, source, calculation, code result, and disclosure passes a genuine human check. This is a mandatory gate, not a decorative ending.
Recommended starting point
A 90-minute online review plus a short workflow and next-step plan. We map where AI may help, where it should not be trusted, and how every critical output will be checked.
You receive the complete format and provide structured private feedback after the session.
What we work on
Models can support brainstorming, source triage, synthesis, note organization, coding, debugging, analysis planning, and writing. They are not authoritative sources and they do not remove the need to inspect evidence.
Plan searches, triage materials, organize notes, compare arguments, and keep every claim traceable to real sources.
Use AI for planning or debugging while documenting choices, testing output, and understanding assumptions and failure modes.
Create transparent support routines that respect university policies, citation rules, disclosure requirements, and human authorship.
AI Act or organizational compliance questions receive general orientation only. Legal questions belong with qualified legal or compliance professionals.
Academic integrity
Support is educational, methodological and editorial. It does not replace your authorship, judgment, or assessed performance.
A grounded next step
The short intake identifies the aim, constraints, and right format before any paid work begins.