voronindenis5

Use when you receive a suspicious email, SMS, or voice-mail attempt and want to know if it's phishing BEFORE clicking — parses raw message text or .eml files, extracts URLs and analyzes them character-by-character (homograph IDN tricks, subdomain brand spoofing, URL shorteners, punycode, credential-path patterns like /login/verify), checks 25+ social-engineering pressure patterns (urgency, fear, authority, curiosity, authority), scores the message 0-100, and explains each signal in plain language so you learn to spot the next one yourself.

Use when grocery bills keep creeping up, when you want to know which store actually has the best prices on what YOU buy, or when deciding whether a bulk-club membership pays off — builds a personal price book from receipts (manual entry or receipt-file parsing), computes unit prices across package sizes and stores, tracks price history per item to expose shrinkflation and stealth increases, ranks stores by your-basket cost instead of generic averages, and answers bulk-buy and stock-up questions with real math (cost per serving, shelf-life breakeven, membership breakeven).

Use when you want to know the real carbon footprint of your daily commute or travel habits, when deciding between commuting modes (car vs transit vs bike vs carpool vs EV), when tracking a personal emissions goal, or when preparing an environmental impact report — logs every trip (mode, distance, passengers), computes kg CO2 per trip/week/month using per-passenger-km emission factors for 14 transport modes, compares against your car baseline, projects your annual trajectory, and shows what changed your footprint most.

Use when you want to check whether food you actually bought is affected by an active recall, after hearing news of an outbreak or a brand recall, when organizing the pantry, after a grocery run, or on a schedule (weekly recall audit) — builds a personal pantry inventory of brands/products/UPCs, queries openFDA's live food-enforcement recall database, fuzzy-matches your items against ongoing Class I/II/III recalls with lot-code pattern extraction, and outputs a risk-ranked action list (check / discard / return-for-refund).

Use when birthdays, anniversaries, and holidays keep sneaking up on you every single year — maintains a registry of people and their gift occasions (birthday, anniversary, Mother's/Father's Day, etc.) with per-person gift profile (interests, sizes, favorites, taboo list, past gifts), generates a rolling 60-day lookahead of upcoming occasions, recommends what to give based on profile + past-gift history (never repeat, always evolve), budgets per person/occasion with running yearly totals, produces an actionable buying plan per occasion (what, budget, where, wrap, card), and exports ICS reminders at 21/7/1 days out so the era of gas-station flowers on the drive home ends.

Use when your calendar is eating your week and you want to know exactly where the time goes, when planning recurring meetings for a team, before proposing a new recurring meeting, when someone says 'we should sync weekly' and you want data, or when auditing which meetings to kill — imports ICS calendar files, measures meeting hours per week/person/meeting-series (including double-bookings and fragmentation), computes focus-time destruction from meeting placement, scores the true cost of each series (hours × attendees × frequency), flags specific meetings to kill/shorten/make-async using explicit rules, and simulates the recovered hours before anyone has to argue about it.

Use when you own a home (or apartment) and things keep breaking because nobody remembered the last service date — builds a whole-home maintenance registry from a guided 10-minute inventory (roof, HVAC, water heater, gutters, detectors, filters, seals, drains), generates a personalized seasonal task calendar with intervals from real maintenance science (filters 1-3 months, HVAC service yearly, water-heater flush yearly, detector batteries yearly, chimney every 2 years...), schedules via ICS export, tracks completion, and estimates the deferred-maintenance debt you're accumulating in dollars — because a $12 filter neglected for a year becomes a $1500 compressor.

Use when a company wronged you and the support chat is going nowhere — builds escalation-aware complaint letters from incident timelines, with the three leverage multipliers consumers never use: regulator escalation ladders (who actually fears which regulator per industry and country), statutory refund rights (consumer protection timelines that turn 'policy' into 'law'), and public-review detonation sequencing (when a CEO email or review-site blast is optimal vs premature). Tracks each complaint as a case with a follow-up cadence so claims die of neglect never.

Use when someone dies or downsizes and the family objects need their stories captured before the people who know them are gone — structured provenance registry for heirlooms (origin, owner chain, story, appraisal, photo refs, audio-interview transcripts), provenance question scripts for interviewing elderly relatives before it is too late, estate-ready provenance reports for executors and appraisers, printed heirloom labels/tags with QR codes linking to the full record, and fairness tools for distribution (wish-list matching and rotation drafting) so the division of objects does not destroy the family.

Use when you want to learn or change a repeated motor sequence — a new phone pattern-lock, a keyboard shortcut chain, a piano riff, a controller combo, a keypad PIN under fingers not eyes — with spaced repetition, interference drills (old habit vs new), and per-transposition error tracking. Models the forgetting curve, schedules micro-sessions (60-90 seconds), and knows the three real failure modes: unused transpositions, alternation interference from an old pattern, and speed before accuracy.

Use when you work nights, rotating shifts, or on-call and your body has no idea when to sleep — generates shift-specific sleep schedules from circadian science: forward-rotation adaptation plans (phase delay is easier than advance), anchor-sleep windows for rapidly rotating schedules, strategic caffeine cutoffs timed to shift end not start, light/dark exposure choreography (bright light during night shifts, dark commute home, blackout sleep), clock-shift transition plans for switching between day and night blocks, drowsy-drive risk warnings on post-shift commutes, and shift-work disorder screening flags — because 20 percent of the workforce does shift work and gets told to just sleep more.

Transform CSV data into stunning interactive chart visualizations with Chart.js

Calculate exact quantities of drinks, ice, food, glassware, and supplies for parties and events from headcount, duration, guest mix, and weather. Uses bartender-standard consumption math (drinks per guest-hour), splits beer/wine/spirits by drinker preferences, applies food-per-hour catering rules, and sizes ice in pounds. Use when planning any party, BBQ, wedding, holiday dinner, or gathering and asking how much alcohol, soda, ice, or food to buy.

Decode laundry care symbols from text descriptions (tub, triangle, iron, circle, square shapes with dots/bars), build a safe wash plan for a mixed load (color bleeding risk, temperature ceilings, fabric conflicts), and give evidence-based stain removal protocols by stain type. Use when the user asks what a care label means, whether clothes can be washed together, what temperature is safe, or how to remove a specific stain without ruining the fabric.

Check if furniture fits a room and the delivery path before buying or moving: computes doorway/hallway/stair clearance with diagonal-tilt geometry (the moving-industry standard), room layout fit with walkway widths, and draws an ASCII floorplan preview. Use when the user asks if a sofa/desk/bed/mattress will fit through a door, up stairs, around a corner, or in a room — preventing the classic bought-it-can't-move-it disaster.

Generate a personalized, breed-and-age-aware dog training program: 5-minute daily exercise plans targeting the owner's specific behavior problems, week-by-week progression, breed drive profiles (herding/hunting/guarding energy outlets), and progress tracking with automatic plan adjustment. Use when the user asks for a dog training plan, help with a behavior problem (pulling, barking, jumping, recall failure, separation anxiety), puppy raising schedules, or wants to know why their breed behaves a certain way.

Plan the optimal order for a multi-stop errand run: groceries, pharmacy, post office, pickup, drop-off. Computes distance (haversine) and travel time between stops, respects opening-hours time windows, adds service/dwell time per stop, and optimizes the visit order with nearest-neighbor + 2-opt. Outputs a timed itinerary with ETAs, wait time, and flags for stops you'd arrive at after closing. Use when someone asks what order to run errands in, whether several stops fit before closing time, or how to route a day of pickups and deliveries.

Turn flat resume bullets ('Responsible for X') into quantified STAR-method achievement narratives, score resumes against job descriptions for ATS keyword coverage and weak-phrase hazards, and expand each bullet into interview-ready stories with likely follow-up questions. Use when the user is writing or updating a resume/CV, preparing bullets for a job application, tailoring a resume to a specific job posting, or preparing interview stories from their experience.

AI-анализатор трендов в IoT, EV, играх, DIY и Emerging Tech с ежедневными сводками, бизнес-инсайтами и рекомендациями для предпринимателей и девелоперов.

Split group expenses fairly (equal or weighted shares) and compute the minimum number of money transfers to settle up. Reads a simple ledger of who paid for what, handles non-even splits, weights, and shared vs personal items, then produces an optimal settlement plan (who pays whom, how much) plus a fairness audit. Use when settling trip costs with friends, splitting rent and utilities among roommates, or running any shared-expense pool without a dedicated app.

Calculate exact daily calorie needs and food portions for dogs and cats from species, breed, weight, age, activity level, and body condition. Compares feeding costs across food types, generates feeding schedules for multi-pet households, and flags weight-loss plans. Use when the user asks how much to feed their dog or cat, whether their pet is overweight, or how to switch foods safely.

Turn raw meeting notes or transcripts into structured action: decisions log, action items with owner and deadline, open questions, and a distributable summary email. Extracts who-committed-to-what with date parsing (natural language dates resolved against the meeting date), deduplicates, tracks carryover between meetings, and generates per-owner task lists. Use when the user has meeting notes/transcripts and needs minutes, action items, or a follow-up summary.

Prepare salary negotiations with a structured toolkit: market-rate anchoring math, walk-away floor calculation, total-compensation evaluation (equity, bonuses, benefits), negotiation scripts for offers, raises, and counter-offers, and BATNA analysis. Use when the user has a job offer, is preparing a raise conversation, wants to know if their pay is competitive, or needs scripts and a strategy for negotiating compensation.

Smart chore assignment for families and households. Assigns tasks based on skills, schedule, and fairness scoring. Tracks who did what, detects freeloaders, rotates unpleasant tasks equitably, and generates visual chore charts and fairness reports.

Find authentic, locally-made souvenirs at any destination and dodge tourist traps. Provides fair local price ranges, where locals actually shop, authenticity tells for handcrafts vs factory fakes, customs/import rules, and trap checks for specific items. Use when the user asks what to buy in a city, whether a souvenir is authentic or a tourist trap, or what gifts they can bring through customs.

Track deductible expenses year-round with smart categorization, receipt logging, and tax-ready export. Organizes by IRS schedule categories, estimates tax savings per deduction, flags audit risks, and generates Schedule C / Schedule A ready reports. Never scramble at tax time again.

Use when comparing apartments or rental homes and torn between options, when deciding if a listing is actually affordable, when touring rentals and needing to score them consistently instead of by vibes, when the advertised rent hides fees/parking/pet rent/utilities/commute, when preparing to negotiate rent or lease terms, or when defining what you actually need (bedrooms, pets, commute ceiling) before searching — applies hard constraints first (budget, commute, bedrooms, pets, move date) to kill unqualified listings, scores survivors on 16 weighted criteria YOU prioritize, computes the true all-in monthly cost with every fee amortized, runs affordability analysis (30/33/50% rules, 3x-income approval math), compares finalists side-by-side with the quality-vs-cost premium quantified, and generates a leverage-based negotiation script with anchoring targets.

Use when a hurricane/typhoon, ice storm, tornado outbreak, atmospheric river, wildfire season, or blizzard is approaching your area, when building a household emergency kit, when deciding how much water and food to store, when sizing a generator or power station for outages, when an advisory or watch is issued and you don't know what to do in what order, or annually to audit family preparedness — profiles your region's real hazards (gulf-coast hurricanes demand 14-day supplies, tornado country demands shelter kits, wildfire WUI demands go-bags), sizes water/food/power for YOUR people and pets with real math, runs a gap audit against your inventory, and prints phase-by-phase countdown checklists from T-72h through the storm to recovery, with the life-safety rules (CO, flood water, downed lines) that kill people every year.

Use when Wi-Fi is slow or drops in specific rooms, when placing a router or mesh node in a new home, when deciding if you need a mesh system or just a better router spot, when your 5 GHz doesn't reach the bedroom, or when picking clean channels among neighbors — builds a floor plan of your home as a simple model (rooms, walls, materials), estimates per-room signal with real RF physics (log-distance path loss + per-material wall attenuation), renders an ASCII heatmap, grid-searches 676 candidate spots for the optimal router placement, tells you exactly where to put mesh nodes (and where NOT to), calibrates against your actual phone measurements, and recommends non-overlapping channels given your neighbors' networks.

Pryamoy Russkiy (Straight Russian) — AI assistant that tells it like it is. Direct answers, no fluff, occasional profanity. Specializes in honest analysis, t...

Audit password vault exports (Bitwarden, 1Password, KeePass, Chrome, Firefox) for reuse, weakness, staleness, breach exposure, and 2FA gaps without ever storing or transmitting a plaintext password. Use when the user asks to audit passwords, check password strength/reuse, review vault health, or verify whether credentials appeared in breaches.

Compare debt payoff strategies with real amortization math: avalanche (highest APR first), snowball (smallest balance first), and minimum-only baseline. Shows exact debt-free dates, total interest paid, interest saved, and freed-minimum cascading. Use when the user has credit card debt, student loans, or multiple debts and asks which to pay first, how long until debt-free, or whether to pay off small balances or high rates first.

Use when a cohabiting relationship is ending and two lives must be untangled — shared-catalog splitting (who keeps what, who owes what), shared subscription/account/service audit with per-item transfer-or-cancel actions, moving-out logistics with handoff handoff and key return, split-expense reconciliation (who owes whom the final settle-up), and a clean named-account inventory (bank, utilities, streaming, insurance, domain names) so nothing stays joint by accident. Handles the object with the worst possible emotional loading: the shared life.