Mohit Aggarwal

Produce a matched Chinese and English CV (中英文简历) from one set of facts: each version follows its own conventions rather than a literal translation, with names, titles, dates, education and company names rendered correctly in both. Use when asked for a Chinese and English resume, translate my CV into Chinese, 中英文简历, 英文简历, or apply to a foreign company in China or a Chinese company abroad. Produces the Chinese CV, the English CV, a consistency table proving the facts match, and a glossary of the terms chosen.

日本語の概要は準備中です。原文の説明を表示しています。

Decide when to buy a big-ticket item to get the best price — the sales cycles, model-refresh timing, and 'buy now vs wait' math for the specific thing you want. Use when asked when's the best time to buy [item], should I wait for a sale, is now a good time to buy, or when do [products] go on sale. Produces the typical discount calendar for that category, whether a new model/version is due (and if the current one will drop), a buy-now-vs-wait recommendation for your timeline, and price-tracking tactics — flagging that timing is a guide, not a guarantee.

日本語の概要は準備中です。原文の説明を表示しています。

Decode an employment benefits package into what it's actually worth and where the fine print bites. Use when someone asks 'is this offer good', 'decode my benefits package', 'what does my equity actually mean', or 'what should I ask HR before signing'. Produces a benefit-by-benefit decode with real dollar values, ranked red flags (vesting cliffs, clawbacks, 'discretionary' bonuses, unlimited-PTO economics), and the questions to ask HR before signing.

日本語の概要は準備中です。原文の説明を表示しています。

Build a tiered classroom behavior intervention plan (BIP) for a K-12 student, grounded in the function of the behavior. Use when asked to plan a behavior intervention, address a disruptive or off-task pattern, write a BIP, or set up positive behavior supports. Produces a function hypothesis, prevention/antecedent strategies, teaching of a replacement behavior, a response plan for when it happens, and a simple data-tracking method — positive and skill-building, not punitive.

日本語の概要は準備中です。原文の説明を表示しています。

Draft the hard personal message you keep putting off — chasing money a friend owes, backing out of plans, checking in after a fight, following up on an unanswered text. Use when asked to help send an awkward text, how to say something uncomfortable to a friend, word a difficult personal message, or bring up something touchy. Produces a couple of calibrated options, the one line to open with, and the send/wait/call judgement call — warm, honest, and not a doormat.

日本語の概要は準備中です。原文の説明を表示しています。

Set up the essentials in the right order after moving to a new country — the ID/registration, bank account, phone, address, and social/tax number that unlock each other — so you don't get stuck in the chicken-and-egg loops that trap newcomers. Use when someone says 'I just moved to a new country', 'what do I do first after arriving', 'set up my life in [country]', or 'I can't open a bank account without an address but can't rent without a bank'. Produces a sequenced arrival checklist with dependencies and the official offices for each. Routes to official sources; rules are local.

日本語の概要は準備中です。原文の説明を表示しています。

Get your attention back with a 30-day protocol that assumes you'll break it — a screen-time ledger without moralizing, friction engineering (what to delete, grayscale, where the phone sleeps), planned relapses, and honest replacement activities for the boredom that shows up on day 3. Use when someone says 'my screen time is 7 hours', 'I want a dumbphone', 'digital detox', 'I can't read books anymore', or 'my attention span is gone'. Produces the ledger, a personal friction plan, and the 30-day protocol with expected failure points.

日本語の概要は準備中です。原文の説明を表示しています。

Plan the merging of two families thoughtfully — roles, rules, routines, and relationships — so a blended household starts on the right foot instead of a collision. Use when asked to help blend our families, moving in with my partner and their kids, step-parenting help, or how to merge two households. Produces a read on the situation and its sensitivities, an approach to step-parent roles and discipline, a plan to align house rules and routines across homes, ways to build relationships at each child's pace, and how to handle exes and loyalty binds — realistic, not idealized. Not therapy.

日本語の概要は準備中です。原文の説明を表示しています。

Decode an auto repair estimate — what each line actually is, which items are urgent vs upsell, and the questions that separate a fair shop from a fishing expedition. Use when someone asks 'is this repair quote fair', 'decode my mechanic's estimate', 'do I really need all this', or 'is the shop ripping me off'. Produces a line-by-line decode with urgency triage, parts/labor sanity checks, ranked red flags, and the exact questions to ask the shop before authorizing.

日本語の概要は準備中です。原文の説明を表示しています。

Take a board game idea from 'wouldn't it be cool if' to a playtestable prototype — core loop, tension source, components you can make tonight, balance starting-points, and a real playtest protocol with kill criteria. Use when someone says 'I have a board game idea', 'design a game about X', 'my game drags in the midgame', or 'how do I playtest this'. Produces a design one-pager, a print-and-play prototype spec, and a 3-session playtest plan.

日本語の概要は準備中です。原文の説明を表示しています。

Write status updates people actually read — the traffic-light-plus-narrative format (state first, story second), the blockers-are-asks rule, and the skimmable structure that respects a reader with thirty seconds. Use when asked write my weekly update, format our team's status posts, nobody reads my updates, or what goes in a good async check-in. Produces the update format with a filled example, the blockers-as-asks discipline, and the reader-time contract.

日本語の概要は準備中です。原文の説明を表示しています。

Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a generic one you have to keep correcting. Use when asked why does AI give me generic answers, how do I give AI better context, my AI results are mediocre, or how do I get it right the first time. Produces the specific context this task needs (who/what/constraints/examples/format), a reusable primer you can paste ahead of the request, the difference between a starved prompt and a well-briefed one, and what to leave out — turning vague back-and-forth into a strong first result.

日本語の概要は準備中です。原文の説明を表示しています。

Run a club, PTA, or association AGM that finishes on time and holds up later — the notice and agenda done right, a quorum plan, minutes that capture decisions not conversations, elections without awkwardness, and the follow-up that makes decisions real. Use when a volunteer says 'I have to run the AGM', 'what goes in the agenda', 'nobody comes to our meetings', or 'our elections are a mess'. Produces the notice, agenda, chair's script, minutes template, and quorum rescue plan.

日本語の概要は準備中です。原文の説明を表示しています。

Get back into a locked or hacked account the right way — the official recovery routes, what proof you'll need, and how to re-secure it so it doesn't happen again. Use when asked I'm locked out of my account, my account got hacked, help me recover my [email/social/bank] account, or I lost access to 2FA. Produces the official recovery path for the account type, the identity proof to prepare, a re-securing checklist for after you're back in, and warnings about fake 'recovery' services and support scams.

日本語の概要は準備中です。原文の説明を表示しています。

Build or tailor an academic CV for faculty, postdoc, research or fellowship applications: publications, grants, teaching, supervision and service in the order the field expects, with consistent citations. Use when asked to write my academic CV, update my CV for a lectureship, tenure-track or postdoc application, format my publications list, or adapt my academic CV for an industry research role. Produces the full academic CV, a field-appropriate section order, a clean publications list in one citation style, and a two-page summary version when asked.

日本語の概要は準備中です。原文の説明を表示しています。

Request a reasonable accommodation at work or in education — frame it around the barrier and the adjustment (not your diagnosis), cite the right process, and navigate the back-and-forth constructively. Use when someone says 'I need a workplace accommodation', 'request reasonable adjustments', 'ADA/Equality Act accommodation', or 'how do I ask for accommodations for my disability/condition'. Produces the request letter, a barriers-and-adjustments map, disclosure guidance, and a plan for the interactive process. Not legal advice — routes to the formal process and to advocacy where needed.

日本語の概要は準備中です。原文の説明を表示しています。

Decode a 401k or workplace retirement plan — the real cost of its funds, the match's fine print, vesting math, and the plan features worth using or avoiding. Use when someone asks 'is my 401k any good', 'decode my 401k plan', 'which funds should I look at', or 'what fees am I paying'. Produces a fee decode in dollars-over-time, match and vesting math, a fund-lineup triage by cost, and the questions for HR or the plan administrator.

日本語の概要は準備中です。原文の説明を表示しています。

Specify the tracing, metrics, and alerting for an AI agent or LLM feature in production. Use when asked what to log for an LLM app, design agent tracing or spans, define quality and cost monitors, or answer 'how do we know if the agent is misbehaving?'. Produces an observability spec with a trace schema, metric definitions with owners and alert thresholds, sampling and retention policy, and a privacy note for logged content.

日本語の概要は準備中です。原文の説明を表示しています。

Make an AI agent or automation reliable enough to trust — the tests, checks, and guardrails that catch its failures before they reach anything real. Use when asked how do I test my AI agent, make my automation reliable, my agent works sometimes, or how do I trust an AI workflow in production. Produces a map of where the agent can fail (bad input, hallucination, wrong tool call, edge cases, silent errors), the checks that catch each (validation, evals on real cases, human-in-the-loop gates, monitoring), a right-sized reliability plan scaled to the stakes, and a rollout that earns trust incrementally.

日本語の概要は準備中です。原文の説明を表示しています。

Figure out which AI tool actually fits the task in front of you — chatbot, coding assistant, image model, agent, or none — instead of forcing one tool onto everything. Use when asked which AI tool should I use for, what's the best AI for, do I even need AI for this, or should I use ChatGPT or something else. Produces a match between your task and the right kind of AI tool (with why), the trade-offs that matter for your case, when the answer is a non-AI tool or plain human effort, and how to try it cheaply before committing — so you pick by fit, not by hype or habit.

日本語の概要は準備中です。原文の説明を表示しています。

Assess whether and how someone can safely stay in their own home as they age — the home hazards, the support gaps, and the modifications and services that make it work. Use when asked can my parent stay in their home safely, aging in place assessment, is it safe for them to live alone, or what do we need for them to stay home. Produces a room-by-room safety read (fall hazards, accessibility), an honest look at the daily-living and support gaps, the modifications and services that could close them, warning signs that home may no longer be safe, and how to raise it respectfully — helping a family make a clear-eyed, dignity-preserving decision. Not medical advice.

日本語の概要は準備中です。原文の説明を表示しています。

Audit whether AI agents can actually use your product — docs, APIs, onboarding, errors, and discoverability, evaluated from a non-human user's perspective. Use when asked if a product is agent-ready, to audit a site or API for AI usability, to prepare for agentic traffic, or when agents keep failing against your product. Produces a scored readiness report with per-surface findings and a prioritised fix list. For optimising a single article for AI citation use aeo-optimizer; for designing the MCP server itself use mcp-server-spec.

日本語の概要は準備中です。原文の説明を表示しています。

Work through the first hours and days after a disaster — a fire, flood, storm, or evacuation — in the right order: safety and people first, then documenting for insurance and aid, then the immediate recovery steps, without missing the things that cost money or health later. Use when someone says 'my house flooded/burned', 'what do I do after the disaster', 'we just evacuated, now what', or 'the storm damaged everything'. Produces a triaged action plan (safety → document → claim → recover), the do-not-miss list, and where to get help. Not legal advice; routes to emergency services and official aid.

日本語の概要は準備中です。原文の説明を表示しています。

Write an AI usage policy people can actually follow — approved tools, data rules, disclosure duties, and review obligations, in one page instead of legal fog. Use when asked for a company AI policy, acceptable-use rules for ChatGPT/Claude/Copilot at work, guidance on what data may go into AI tools, or to fix a policy nobody reads. Produces a one-page usable policy plus the decision log behind it. Not a substitute for legal advice; pairs with compliance-checklist for regulatory mapping and ai-ethics-review for system-level assessments.

日本語の概要は準備中です。原文の説明を表示しています。