Research & Analysis Workflows

Act as a research ethics committee — stress-test a protocol the way an IRB / REC / HREC would. Reviews informed consent, risk-benefit balance, vulnerable populations, data privacy, deception, debriefing, payment, dual-use risks, AI/LLM use in research, and equity in recruitment. Produces a committee-style decision letter with required revisions, recommended changes, and approval pathway. Useful before IRB submission, when responding to IRB feedback, when drafting ethics sections of a paper or grant, or when a protocol changes mid-study. Trigger when: user mentions "ethics review", "IRB", "REC", "HREC", "ethics committee", "ethics statement", "informed consent", "is this study ethical", "vulnerable population", "deception in research", "Belmont", "Helsinki", "GDPR research", "ethics approval", "ethics application", or runs /ethics.

Audit a grant management system for proposal workflow efficiency, deadline tracking, budget-narrative alignment, outcome reporting, compliance readiness, and win rate optimization. Use when reviewing nonprofit grant software, building a grants CRM, analyzing proposal pipelines, or evaluating funder reporting tools.

Draft long-form manuscript sections — abstract, introduction, related work / literature review, methods, results, discussion, limitations, conclusion — from a methodology document and an analysis report. Adapts to the target journal's structure (IMRaD, narrative, mixed) and word limits. Integrates citations the user provides without inventing new ones, and flags every claim that needs a source but lacks one. Trigger when: user mentions "draft my paper", "write the intro", "write the methods section", "write the results section", "draft the discussion", "write the abstract", "manuscript draft", "section draft", "first draft of paper", or runs /draft.

Advise on quantitative and qualitative research methodology — design, sampling, validity, reliability, measurement, ethics, analysis plan, and — mandatory in every methodology output — creative AI / ML / Big Data extensions tailored to the specific research question. The creative-extensions section is not optional: it forces researchers to consider non-conventional, modern methods before settling on a design. Trigger when: user asks about "study design", "research design", "methodology", "what method should I use", "sample size", "power analysis", "sampling strategy", "validity", "reliability", "IRB", "pre-registration", "RCT vs quasi-experiment", "qualitative vs quantitative", "AI methods for my study", "ML approach", "big data approach", "creative methods", or runs /methodology.

Code qualitative data — interview transcripts, open-ended survey responses, field notes, documents, social media — using inductive, deductive, or hybrid approaches. Generates and refines codebooks, applies codes consistently, identifies themes, and supports inter-rater reliability checks. Includes NLP-assisted techniques (sentiment, topic modeling, embeddings) for exploring large corpora. Trigger when: user mentions "thematic analysis", "code transcripts", "qualitative coding", "codebook", "themes", "open coding", "axial coding", "grounded theory", "content analysis", "inter-rater", "Cohen's kappa", "topic modeling", "NLP on transcripts", or runs /code-themes.

Design a direct, conceptual, or generalization replication of a published study. Walks through identifying the target effect, extracting the original design with enough fidelity to replicate it, deciding what to hold equivalent vs. what to update, calculating sample size for adequate replication power (typically ~2.5x the original under reasonable assumptions), pre-registering the replication on OSF / AsPredicted, multi-site logistics if applicable, and statistically assessing replication success (significance + effect size + meta-analytic synthesis with the original). Trigger when: user mentions "replicate this study", "replication design", "registered replication", "many-labs", "is this finding robust", "direct replication", "conceptual replication", "preregistered replication", "replication power", or runs /replicate.

Generate, sharpen, and pressure-test research ideas — research questions, hypotheses, study angles, novel contributions, and contrarian framings. Pushes beyond obvious next steps to find what's actually worth studying. Useful at the start of a project or when stuck. Trigger when: user asks to "brainstorm research", "generate research ideas", "research questions", "hypothesis ideas", "what should I study", "I'm stuck on what to research", "thesis topic ideas", "novel angles", "what's interesting about", or runs /brainstorm.

Draft a rigorous, polite, point-by-point response to reviewer comments on a journal or conference submission (R1 / R2 / R3 letters), plus the corresponding manuscript revisions. Categorizes each comment as concession / pushback / clarification needed / minor fix, drafts the response and the revision for each, and assembles a cover letter. Composes with peer-review (consume comments from a review output) and manuscript-drafter (revise prose using the manuscript's voice profile and academic register rules). Won't concede a point the data doesn't support; preserves framing where the reviewer misread; addresses every point. Trigger when: user mentions "respond to reviewers", "R1 response", "R2 response", "rebuttal", "address reviewer comments", "reviewer-response letter", "point-by-point response", "revision and resubmission", "response to reviewer 2", "cover letter to editor", or runs /respond.

Design and analyze surveys for product validation and user…

Turn a paper (or several, a thesis, a body of work) into an academic talk — outline, per-slide content, speaker notes, opening hook, single take-home message, backup slides for Q&A, rehearsal plan. Adapts to talk length (3-min lightning through 90-min defense), audience (specialists / general field / cross-disciplinary / clinical / public), format (contributed / lightning / invited / plenary / keynote / symposium / workshop / defense / job talk / public lecture / course lecture), and discipline conventions (sciences, social sciences, CS / ML / HCI, medicine, education, humanities, law, math). Produces a deck-platform-agnostic outline plus optional Marp / Quarto / reveal.js / Beamer stubs. Trigger when: user mentions "turn paper into talk", "presentation outline", "slides for my talk", "conference talk", "lecture outline", "academic presentation", "speaker notes", "thesis defense talk", "job talk", "keynote", "invited talk", "lightning talk", "elevator pitch of my paper", or runs /talk.