Most AI is a chat box: you ask, it answers, you do the rest. Krew is different — it's a team of AI workers, each with a name and a job, that actually does the task and hands you a finished result. This page explains exactly how, in plain language, with real examples.
An AI team that does the work — not just answers questions.
48 specialists · 10 departments · all yours on every plan · runs locally
When most people think "AI", they think of a chat window: you type a question, it types back, and you copy-paste the answer somewhere. Useful, but you're still doing the real work — turning that text into a finished email, a posted caption, a reviewed pull request.
Krew flips that. Instead of one general chatbot, you get a team of named specialists — Arjun the chief of staff, Zara the caption writer, Neo the code reviewer, and 40 more. You give one a task in normal language, and it goes and does it: searches the web, reads your files, drafts the email, and brings back something finished. You're reviewing, not doing.
Tasks today17
Agents active3 / 48
Tokens this month2.1M / 10M
Avg response2.4s
Integrations5 live
AR
Arjun.Boss
orchestrator · routing
2 agents working
Write launch copy for v1.0 — website hero, a Twitter thread, and 3 Instagram captions. Also, make sure the API auth PR is reviewed before I merge.
Arjun.Boss · routing
Two jobs, two agents. Zara.Content is handling the copy — hero, thread, captions. Neo.Engineer has the PR open for review. I'll surface both when they're done.
Zara.Content · drafted
Hero copy ready — 3 variants (bold, soft, curiosity). Thread is 9 tweets with a hook and call-to-action at the end. Captions: platform-tuned for Instagram with hashtag sets. Want me to adjust tone?
↳ Neo.Engineer · PR #47 · auth module
Found 2 issues: missing rate limit on /token endpoint, JWT secret in plain env reference (should use secrets manager). Detailed comments added on GitHub.
Ask Arjun or @mention any of your 57 agents…
→
This is the actual app. One task in, two specialists working in parallel, a live workflow on the right — and nothing leaves your laptop.
A normal AI chatbot
Answers, then stops
Forgets you between chats
Can't open your tools or the web
You still do the actual work
Your words go to a company server
A Krew agent
Finishes the task, end to end
Remembers your work permanently
Reads Gmail, Notion, GitHub + the live web
Hands you a ready result
Runs on your laptop — nothing uploaded
48
AI specialists
10
departments
8
live integrations
0
data sent to cloud
Every section below explains one part of how this works — read whichever ones you're curious about. If you only read one, read the next.
01 Your AI office
Each one has a name. Each name means a job.
Name.Role — like Zara.Content or Neo.Engineer — so you always know who's doing what
Krew isn't one chatbot you rename. It's 48 distinct specialists, each trained for a single job and shown in chat as Name.Role. Arjun.Boss runs the show and hands tasks to the right person. Zara.Content writes your captions. Vera.Engineer reviews your code. Nyx.Data digs up companies from public databases. All 48 are included on every plan — nothing is locked behind a higher tier.
Real story — Content agency owner
Priya runs a small content agency in Hyderabad — 7 clients, one employee.
Every week she writes LinkedIn posts for all 7 clients — 3 each, every one a different tone and industry. That's 21 posts, plus monthly reports and the emails that go with them. It used to eat roughly 2 full working days a week.
Now she has a Krew agent set up per client, each one taught that client's brand once. When she needs this week's posts she types: "write this week's 3 posts for Neeraj's SaaS company." Three ready-to-post captions come back in about 90 seconds. Two days of work is now about three hours of her attention.
Browse the full team. Filter by department, or expand to see them all:
Receives your task, picks the right specialists, runs the workflow, and brings back one answer. The only agent who talks to all the others.
ZA
Content
Zara.Content
Caption Writer
Platform-tuned captions and hashtags for Instagram, LinkedIn and X — hook, body and a variant, every time.
DE
Content
Dev.Content
Script Writer
Viral short-form scripts for Reels, Shorts and TikTok — researches the topic first, then writes the hook.
PR
Content
Priya.Content
Video Script Writer
Production-ready scripts with timestamps, B-roll notes and voiceover direction. YouTube-ready from draft one.
KI
Content
Kira.Content
Trend Spotter
Surfaces the angles, formats and topics working right now — not what worked last month.
ME
Content
Meera.Content
Content Planner
7-day and monthly content calendars with a clear strategy behind every slot.
RO
Content
Rohan.Content
Social Scheduler
Data-backed posting schedules with the timing rationale — post when your audience is actually online.
VI
Marketing
Vikram.Marketing
Ad Copywriter
Ad copy, headlines and CTAs with audience targeting for Meta, Google and LinkedIn. Three variants to A/B test.
NE
Marketing
Neha.Marketing
Email Marketer
Bulk campaigns, drip sequences, newsletters and welcome series — connected to your real inbox.
SD
Marketing
Sid.Marketing
SEO Specialist
Meta titles, descriptions, headings, keywords and schema markup that actually rank.
AN
Marketing
Anika.Marketing
Competitor Watcher
Competitor breakdowns — strengths, weaknesses, pricing, and how to stand apart.
SA
Marketing
Sam.Marketing
Email Writer
Professional one-off emails — follow-ups, negotiations, partnership pitches — in your voice.
KA
Sales
Kabir.Sales
Proposal Writer
Full business proposals with an exec summary, deliverables, timeline and pricing — ready to send.
DI
Sales
Divya.Sales
Portfolio Writer
Case studies and portfolio pieces with a clean challenge to approach to results arc.
KR
Sales
Krish.Sales
Cold Outreach
First-touch cold emails and LinkedIn/WhatsApp messages in 3 variants — researched, not copy-pasted.
AY
Finance
Arya.Finance
Chief Financial Officer
Pricing, revenue models, unit economics, P&L and budgets — your dedicated finance brain.
NI
Support
Nia.Support
DM Responder
Replies to business DMs, fan messages, complaints and partnership pitches in your brand voice.
TA
Support
Tara.Support
Comment Manager
Comment replies — positive, negative, neutral — written to lift engagement.
RI
Support
Riya.Support
Customer Support
Customer-facing help on orders, billing, refunds and complaints. Escalates what she cannot resolve.
JA
Support
Jay.Support
Review Responder
Replies to 1–5 star reviews — reputation-protective, empathetic, always on-brand.
MI
Support
Mia.Support
WhatsApp Responder
Natural WhatsApp business messages — plain text, no markdown, sounds human.
AN
Support
Aryan.Support
Technical Support
Step-by-step troubleshooting for app bugs, APIs, integrations and errors.
LU
Designer
Luna.Design
Thumbnail Maker
Generates detailed AI image prompts for click-worthy video thumbnails.
NO
Designer
Nova.Design
Image Maker
Hyper-specific AI image prompts for any visual you need.
PX
Designer
Pixel.Design
Visual Creator
Builds complete landing pages, marketing sites, banners and video scripts using real design craft.
KU
Data
Kunal.Data
Finance Analyst
Financial analysis, summaries, cash flow and margin breakdowns in plain language.
SN
Data
Sana.Data
Inventory Alerter
Stock-level analysis, urgency categorisation and reorder plans.
NK
Data
Nikhil.Data
Weekly Report
Executive-ready weekly reports for any business function.
LX
Data
Lexi.Data
Data Analyst
Turns raw data into clear decisions — trends, anomalies and ranked actions. No SQL needed from you.
IS
Data
Ishaan.Data
Report Builder
Polished reports with an exec summary, findings, tables and recommendations.
NY
Data
Nyx.Data
Research Specialist
Finds companies and prospects from Wikidata, Wikipedia, Yahoo Finance and GitHub — no API key needed.
NO
Engineer
Neo.Engineer
Code Agent
Complete, production-quality code in any language or framework.
DX
Engineer
Dex.Engineer
Bug Hunter
Diagnoses and fixes bugs with the root cause and prevention tips.
VE
Engineer
Vera.Engineer
Code Reviewer
Senior-level reviews for security, bugs, performance and best practice — comments like a staff engineer.
MA
Engineer
Maya.Engineer
Docs Writer
Developer docs — API references, READMEs and onboarding guides, current with your code.
RE
Engineer
Rex.Engineer
Test Writer
Complete test suites — unit, edge cases and integration.
FL
Engineer
Flux.Engineer
Deploy Monitor
Deploys sites live to Vercel, Netlify or GitHub Pages and returns a real URL.
VX
Engineer
Vex.Engineer
Video Publisher
Publishes videos to LinkedIn, Instagram, X and YouTube, and recommends the right tools to connect.
AV
Product
Ava.PM
Research Agent
Research with live web search — cited findings you can act on.
RA
Product
Raj.PM
Contract Checker
Contract review in plain English with red flags and a risk rating.
NR
Product
Nora.PM
Legal Checker
Legal document review against Indian law and sector regulations.
FI
Product
Finn.PM
Invoice Tracker
Invoice management, overdue tracking and follow-up emails with templates.
LN
Product
Lena.PM
Product Describer
Listing copy for Amazon, Flipkart and Meesho — titles, bullets and SEO.
SY
Product
Siya.PM
Translator
Translates between any languages with cultural adaptation — not word-for-word.
RV
Product
Ravi.PM
Multilingual Reply
Drafts replies in Indian regional languages — Hindi, Tamil, Telugu and more.
EC
Product
Echo.PM
Voice Note Cleaner
Turns messy voice-to-text transcripts into polished, readable text.
KA
Ops
Kai.Ops
Ops Manager
Lists, runs, creates and pauses your automations — your hands on the Studio workflows.
NV
Ops
Nova.Ops
Automation Strategist
Designs complex multi-step automation workflows and pipeline strategies.
The Agents tab inside Krew — pick a specialist, or let Arjun.Boss choose for you.
ReplacesChatGPT for work tasksJasper / Copy.aiHours of manual writingA part-time assistant
02 How it thinks
It doesn't guess. It reasons, then verifies.
Reason → Act → Observe → repeat — up to 10 steps before it answers
A plain chatbot answers from memory, which is why it sometimes confidently makes things up. Every Krew agent works differently: it thinks about what it needs, uses a tool to go get it, looks at what came back, and only then continues. It's the difference between a confident guess and a checked answer.
Here's that loop on a real task — writing a launch post — shown exactly as it runs inside the app:
1
You
"Write a LinkedIn post about our v1.0 launch — make it feel like a milestone, not a press release."
2
Zara.Content · Reason
I need to know what makes a launch post feel authentic before I write. Let me look up high-performing formats first.
3
Act
Searching the web for current best practices.
web_search("authentic product launch LinkedIn post 2024")
4
Observe
Found 3 frameworks — story arc, team shoutout, behind-the-scenes. The story arc gets 4× the average engagement.
5
Zara.Content · Final answer
Drafting with the story arc: a human opening hook, three milestones, a team thank-you, and a close that invites the reader in. Tone: human, not corporate.
You can watch each step happen — so you always know why the answer is what it is.
Up to 10 reasoning steps per taskComplex jobs get multiple rounds of think-act-check, not one rushed reply.
Real tools, in the loopWeb search, file reads, and app calls happen mid-task — the agent sees real results before continuing.
It stops and asks if it's genuinely stuckNo quiet guessing. If it can't proceed safely, it tells you instead of inventing an answer.
03 Built to think
Not a chatbot. An actual agent.
Four systems run on every task — the reason Krew feels different from a chat window
These aren't clever prompts you have to write. They're built into how every agent works, quietly, on every task you give it.
Memory
Remembers you across sessions
Tell Zara your brand voice once — she uses it every time. Tell Kunal which metrics matter — he tracks them without being reminded. Memory is per-agent and stored on your machine.
Planning
Plans before it acts
For any multi-step task, the agent writes a numbered plan before touching a single tool. You see the plan first and can redirect before any action is taken.
Self-review
Checks its own answer
After a first draft, the agent runs a second pass — is this complete, accurate, worth sending? What arrives in your chat is the second draft, not the first.
Delegation
Boss assigns the right agent
Give Arjun.Boss a big task and he splits it up, hands each piece to the right specialist, and returns one unified answer. You talk to one agent; your whole office works.
Memory, planning, self-review and delegation — working together on every request.
04 Integrations
Your agents know your tools.
Gmail · Google Suite · Notion · Slack · GitHub · Linear · Airtable · Brave + live browser
Connect the apps you already use, and your agents can read from them and act in them in real time — draft a reply in your inbox, check a Notion page, read a GitHub issue, post a result to Slack. Not a one-time "import": a live connection, with your approval before anything is sent.
G
Gmail
Read inbox, draft replies, search threads. IMAP — no Google review needed.
Live · IMAP
G+
Google Suite
Calendar, Sheets, Drive, Slides — read and write with OAuth. Your credentials, your data.
Read channels, post messages, DM teammates. Bot token with scoped permissions.
Live · Bot token
⌥
GitHub
Read issues, review PRs, list repos, check CI status. Personal access token.
Live · PAT
L
Linear
Read and create issues, update statuses, track sprint progress.
Live · API key
A
Airtable
Query bases, create records, update fields. Works like a database your agents can query.
Live · PAT
Brave Search
Real-time web search on every agent. No hallucinations — they look it up first.
Live · API key
Connect Apps inside Krew — each one shows exactly what access it has.
How the AI itself is powered is up to you — run it free and offline, bring your own provider key, or use one simple adris.tech plan:
Free forever
Local · Ollama
Run any open-source model completely offline. Zero API cost, zero data sent anywhere. Needs Ollama installed.
Bring your key
Own Key · 9 providers
Gemini, OpenAI, Claude, Groq, Mistral, Perplexity, Together.ai, DeepSeek, or any OpenAI-compatible endpoint.
Hosted
adris.tech · managed
One plan, one bill. Tokens shared across Krew, Coder, and Studio. No API keys to manage — just open the app.
05 Live browser
Not web search. The actual web.
Opens a real Chrome window, clicks, fills forms, reads pages, takes screenshots
Sometimes an answer isn't on a search results page — it's behind a login, inside a dashboard, or on a site that only works with full JavaScript. So Krew opens a real Chrome window on your machine and uses it like a person would: navigate to a page, click a button, fill a form, copy the content, take a screenshot. Not a scraper — the actual browser.
✓ Research complete · returning results to Arjun.Boss
A real browsing session, step by step — and the Chrome window closes itself when the job is done.
Reaches what search can'tLogged-in dashboards, SaaS tools, JavaScript-heavy pages — your own accounts, read on your behalf.
Does, not just readsFill a lead form, monitor a pricing page, pull structured data, research a competitor.
Runs on your machineIt's your Chrome, your logins, your network. No cloud browser, nothing handed to a third party.
06 You're in control
They draft. You decide.
Every outside action — send, post, create — waits for your one-tap approval
An agent that can send emails and post to Slack is powerful — and that power needs a seatbelt. So every action that touches the outside world shows up as an approval card first. You see exactly what it wants to do, in full, and nothing irreversible happens until you tap approve. You can also edit the draft before sending — it's never all-or-nothing.
Ayan.Sales · action approval
↳ Gmail · send cold email · approval required
Send to rahul@startupname.in with subject "Quick question about your onboarding flow"
Body references Rahul's recent LinkedIn post about retention in the first line. 4 sentences. No pitch in the first email.
Sent to rahul@startupname.in via Gmail11:02 · you approved
Logged follow-up task in Linear · 3 days11:02 · auto
See the full draft, approve / edit / reject — and every action is logged in an audit trail.
07 Privacy · local-first
Your Krew. Your device. Your data.
Conversations on your disk · credentials in your OS keychain · zero cloud by design
This is the part that's genuinely different from any online AI tool. Krew runs on your laptop. Your chats live in a database file on your machine, your passwords are encrypted in the operating system's keychain, and we never see any of it. Not because we promise not to look — because there's nothing on our side to look at.
Conversations stay local
Every chat and tool call is stored in a SQLite file on your machine. Nothing leaves unless you export it. Delete the file and it's gone — there's no server copy, because there never was one.
Credentials in your keychain
Gmail tokens, Notion secrets, GitHub keys — encrypted in your OS keychain, never written to disk in plain text. adris.tech's servers never see them, not even during setup.
Bring your own AI key
Connect your own Gemini, OpenAI or Groq key and requests go straight from your laptop to the provider — we never see the prompt or the response.
→ Who is this for
If a few hours of your week is repeatable work, Krew is for you.
You don't need to be technical. The people who get the most from Krew are:
People who benefit most
Freelancers working alone — agents handle the repetitive writing and research, so you focus on the work only you can do.
Small teams (2–15 people) — one shared AI office for content, sales outreach, support replies and reports.
Founders & small business owners — the equivalent of a small team's worth of help, for the price of one tool.
Developers — Neo reviews PRs, Dex hunts bugs, Rex writes tests — right next to your code.
48 specialists. One download.
Arjun, Zara, Neo, Kunal, Ava — your whole AI office, running locally on Windows. Free to start, no credit card, no waitlist.