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Prepare artifact-evaluation submissions for ML and systems conferences, including artifact scope, installability, reproducibility claims, hardware needs, badges, expected runtime, and reviewer instructions.

Audit experiments for top ML, CV, systems, and architecture submissions, checking baselines, ablations, metrics, statistical strength, datasets, stress tests, failure cases, and claim coverage.

Build a top-conference paper strategy from raw results, including central claim, contribution framing, section outline, reviewer value proposition, and claim-evidence alignment.

Plan a top-conference rebuttal or author response by clustering reviewer comments, identifying misunderstandings, concessions, evidence, response priority, and camera-ready promises.

Simulate critical top-conference reviewers for a draft, producing likely strengths, weaknesses, score drivers, clarity objections, missing experiments, novelty concerns, and rebuttal-preparation notes.

Build and audit conference submission checklists for paper PDF, supplement, OpenReview/CMT metadata, anonymity, ethics, broader impact, reproducibility, author forms, and deadline readiness.

End-to-end top-conference submission assistant for NeurIPS, ICLR, ICML, MLSys, ASPLOS, and CVPR-style papers. Use for submission planning, contribution framing, experiment gap analysis, paper outline, related work positioning, checklist compliance, rebuttal strategy, artifact evaluation, and camera-ready readiness.

Evaluate whether a research paper fits NeurIPS, ICLR, ICML, MLSys, ASPLOS, CVPR, or adjacent venues based on contribution type, evidence, audience, novelty, experiment norms, and reviewer expectations.

Review startup product architecture for correctness, simplicity, scaling path, data model, API boundaries, reliability, security, observability, and operational risk.

Make build-versus-buy decisions for startup infrastructure, including auth, billing, email, search, AI, CRM, analytics, support, storage, observability, and compliance tooling.

Build a technical hiring plan for early-stage startups, including role definition, founder bottleneck, contractor versus employee, interview loop, trial project, scorecard, and onboarding plan.

Audit startup launch readiness across product flows, onboarding, payments, analytics, support, monitoring, legal pages, security, rollback, and founder operating checklist.

Scope an MVP for founders and indie hackers by narrowing user, painful workflow, must-have features, launch criteria, learning goals, and cut lines. Use when a startup idea is too broad or unfocused.

Create a practical startup security baseline covering secrets, authentication, authorization, backups, logging, dependency updates, access control, incident response, and customer trust.

Practical CTO replacement workflow for founders and indie hackers. Use for MVP scoping, product architecture, tech-stack selection, build-vs-buy decisions, hiring plans, security baselines, launch readiness, engineering roadmaps, and investor-facing technical explanations.

Choose a pragmatic startup tech stack based on team skill, product type, AI needs, data sensitivity, speed, cost, deployment path, integrations, and migration risk.

Draft calm, documented emails to landlords or property managers for notices, questions, lease clarifications, deposit follow-up, access scheduling, noise issues, and written confirmations.

Summarize residential leases in plain English, extracting rent, term, deposits, fees, utilities, notice periods, maintenance duties, guest rules, pet rules, renewal, termination, and renter questions. Not legal advice.

Create move-in documentation checklists for renters, including photos, videos, condition notes, meter readings, keys, appliances, utilities, smoke detectors, pests, and landlord notification templates.

Create move-out plans for renters, including notice, cleaning, repairs, photo evidence, key return, forwarding address, final walkthrough, utility shutdown, and deposit follow-up.

Review rent increase notices as renter paperwork, extracting amount, percentage, effective date, notice period, lease renewal terms, comparison questions, negotiation options, and evidence to gather. Not legal advice.

Write maintenance and repair requests for rental housing, including issue description, severity, access windows, photo evidence, safety concerns, prior requests, and follow-up language.

Organize renter evidence for security deposit disputes, including lease terms, move-in/out photos, repair receipts, cleaning proof, landlord communications, itemized deductions, timeline, and a calm demand letter. Not legal advice.

Prepare airline delay, cancellation, baggage, downgrade, or missed-connection claim packets using itinerary facts, airline communications, expenses, receipts, policy references supplied by the user, and reimbursement request drafts.

Organize a credit-card chargeback or card dispute packet, including timeline, merchant contact attempts, receipts, policies, delivery evidence, cancellation proof, defect photos, and a concise dispute statement.

Convert failed customer-support interactions into calm escalation scripts for supervisors, executive support, marketplace support, payment providers, regulators, or review-platform follow-up.

Draft hotel complaint and compensation requests for cleanliness, safety, noise, unavailable amenities, wrong room, billing issues, service failure, or reservation problems using evidence and a reasonable remedy.

Draft clear refund request emails or chat messages for purchases, services, apps, courses, travel, subscriptions, and billing mistakes using facts, policy language, evidence, and a specific requested remedy.

Build accurate, policy-fit return reasons for ecommerce, retail, digital products, and marketplace purchases. Use to avoid vague complaints and prepare evidence for returns or exchanges.

Prepare subscription refund requests for accidental renewals, unused service, trial conversion, duplicate billing, cancellation problems, or promised cancellation not honored.

Summarize contracts in plain English for developers and founders, extracting parties, obligations, payment, renewal, termination, liability, indemnity, IP, confidentiality, jurisdiction, and lawyer questions. Not legal advice.

Prepare concise lawyer-ready briefs from messy facts, documents, timelines, emails, contracts, disputes, or product questions so the user can save time in a paid legal consultation.

Legal basics assistant for developers, founders, and small teams. Use to summarize contracts, identify practical risk questions, prepare lawyer-ready issue lists, draft plain-English emails, compare SaaS terms, review NDAs, organize privacy/security obligations, and create negotiation notes. Not legal advice.

Review NDAs for founders and developers, focusing on confidential information scope, exclusions, term, residual knowledge, non-solicit, IP leakage, return/destruction, injunctive relief, and practical negotiation questions.

Draft calm contract negotiation emails for founders, developers, freelancers, and small teams, translating business concerns into clear asks without sounding hostile or over-lawyered.

Help developers reason about open-source license obligations, dependency review, attribution, copyleft questions, commercial use, model/data licenses, and lawyer-ready risk notes. Not legal advice.

Organize privacy policy and terms-of-service requirements for apps, SaaS products, and websites, including data collected, user rights, third-party processors, cookies, AI features, payments, and support workflows. Not legal advice.

Draft blog posts and essays for creators, founders, engineers, and researchers, including outline, thesis, narrative flow, examples, transitions, and edit passes in the user's voice.

Build editorial calendars for creators, founders, companies, or researchers, including content pillars, weekly cadence, post ideas, repurposing map, launch moments, and production checklist.

Voice-aware ghostwriting workflow for creators, founders, executives, and bloggers. Use for voice capture, post drafts, newsletters, essays, video scripts, launch threads, editorial calendars, audience positioning, and rewriting content so it sounds like the user rather than generic AI.

Draft creator, founder, technical, or personal newsletters using a captured voice, clear promise, hook, narrative arc, useful takeaways, links, and non-generic ending.

Write video scripts for YouTube, TikTok, demos, product launches, tutorials, and founder updates with hook, beat sheet, spoken cadence, visuals, and call to action.

Build a reusable voice card from writing samples, transcripts, posts, emails, or interviews, capturing tone, rhythm, beliefs, phrases, forbidden styles, and editing rules.

Write X/Twitter threads and short posts from notes, essays, launches, technical ideas, or personal stories while preserving voice and avoiding engagement-bait tone.

Write company analysis memos covering business model, revenue drivers, unit economics, margins, competition, management, catalysts, valuation context, risks, and monitoring indicators.

Financial analyst workflow for market research, company analysis, valuation review, model QA, fintech product analysis, quant strategy notes, portfolio risk memos, and investor-ready briefs. Use when the user needs structured financial reasoning. Not investment, tax, accounting, or legal advice.

Analyze fintech product ideas across user pain, money movement, compliance exposure, fraud, unit economics, data requirements, risk controls, pricing, and launch sequencing.

Produce market briefs for macro, sector, fintech, crypto, rates, commodities, or equity themes, separating verified data, narrative, catalysts, risks, and watchlist indicators.

QA financial models for formula errors, hardcodes, date logic, sign conventions, circularity, balance-sheet integrity, scenario switches, units, currencies, and presentation quality.

Draft risk memos for portfolios, fintech products, lending, treasury, trading, or operations, covering exposure, scenarios, controls, monitoring, escalation, and residual risk.

Review valuation logic for DCF, comps, precedent transactions, revenue multiples, unit economics, sensitivity tables, assumptions, discount rates, terminal value, and sanity checks.

Design dashboard specifications for executives, product teams, sales, finance, operations, and support, including audience, metrics, filters, visuals, refresh cadence, alerts, and interpretation notes.

End-to-end data analyst workflow for business, product, operations, and growth questions. Use for metric definition, SQL planning, data QA, exploratory analysis, cohort analysis, experiment readouts, dashboards, stakeholder memos, and reproducible Python or notebook analysis.

Audit data quality for analysis, dashboards, or models, checking duplicates, nulls, outliers, joins, freshness, timezone, units, currencies, late-arriving data, schema drift, and source-of-truth conflicts.

Turn analysis into executive-ready memos with answer-first summary, evidence, charts to include, assumptions, caveats, recommendation, owner, and next decision.

Analyze and communicate A/B tests or product experiments, including hypothesis, guardrails, sample ratio, metric definitions, effect size, uncertainty, segmentation, caveats, and launch recommendation.

Define business, product, growth, finance, and operations metrics with grain, denominator, filters, time window, edge cases, owner, and decision use.

Plan and write SQL analysis for product, business, cohort, funnel, retention, revenue, and operations questions with explicit joins, grain, QA checks, and reproducibility notes.

Clean and organize a research paper appendix or supplement after acceptance, aligning proofs, extra experiments, ablations, implementation details, ethics, limitations, and reviewer-requested material.

Prepare research artifacts for post-acceptance release, including reproducibility scope, artifact README, expected outputs, environment notes, datasets, model weights, hardware, runtime, and artifact-evaluation responses.

Prepare final author metadata for accepted papers, including names, affiliations, contribution notes, corresponding authors, ORCID, acknowledgements, funding, conflicts, and proceedings forms.

Coordinate camera-ready preparation for accepted research papers, including venue instructions, final PDF compliance, author metadata, appendix cleanup, artifact packaging, code/data release notes, license checks, and launch materials. Use when the user has an accepted or conditionally accepted paper and needs a rigorous pre-publication workflow.

Review a research code repository before public release, checking README clarity, install commands, examples, secrets, private paths, licenses, datasets, model files, dependency pins, and citation metadata.

Audit a camera-ready research paper PDF for venue compliance, author metadata, page limits, template use, figure readability, references, hyperlinks, appendix boundaries, and final-submission blockers.

Draft responsible launch copy for accepted papers, including website text, social posts, email announcements, project-page summaries, code-release notes, and claim-safe one-liners.

Audit recurring bills and statements to identify subscriptions, duplicate services, price creep, unused features, billing errors, negotiation targets, and cancellation candidates. Use when the user wants to cut monthly expenses or understand where money is leaking.

Draft evidence-backed messages to dispute late fees, overdraft fees, service fees, cancellation fees, restocking fees, billing errors, or surprise charges. Use when the user needs a calm written request or call script for fee reversal.

Review auto, renters, home, health, or business insurance premium increases by organizing coverage, deductibles, discounts, claim history, comparison questions, and broker/carrier call scripts. Not insurance advice.

Prepare internet, cable, mobile, or telecom bill negotiation plans using current plan details, competitor offers, usage needs, outage history, and retention-call scripts. Use when the user wants to lower an ISP or carrier bill.

Write refund request emails for subscriptions, purchases, services, digital products, courses, travel, or billing mistakes. Use when the user needs a polite, policy-aware, evidence-backed refund message.

Create short phone scripts for cancellation, retention, loyalty, refund, fee reversal, downgrade, and price-match calls. Use when the user wants to sound calm, firm, and prepared on a customer-service call.

Create cancellation plans for subscriptions, SaaS tools, gyms, apps, memberships, and trial renewals. Use to identify cancellation method, deadline, evidence to save, retention traps, confirmation steps, and follow-up reminders.

Prepare arXiv metadata including title, abstract, authors, affiliations, comments, journal reference, DOI, categories, keywords, and BibTeX-friendly citation fields.

Prepare research papers for arXiv release, including title and abstract positioning, category selection, metadata, source hygiene, PDF checks, code/data links, release notes, social launch copy, and post-release update planning. Use when a researcher wants to publish or update a preprint.

Choose arXiv primary and cross-list categories for ML, AI, CV, systems, statistics, robotics, biology, finance, and interdisciplinary papers based on actual contribution and audience.

Position an arXiv paper title, abstract, and introduction for accurate public release without overclaiming, unsupported novelty, premature peer-review framing, or misleading benchmark language.

Plan an arXiv launch with paper links, project page, code, data, model cards, social posts, email announcement, lab page, README update, and citation instructions.

Clean LaTeX or source files for arXiv submission, removing private comments, local paths, hidden notes, unused files, oversized assets, broken bibliography, and non-portable build assumptions.

Plan arXiv v2/v3 updates, changelog wording, replacement rationale, citation continuity, accepted-version notes, and communication to readers after revision.