Not a tool.
A senior hire.
Llev is an AI employee who arrives already knowing the job. He has a Slack handle, an email address, access to your tools — and he remembers what you told him last Tuesday.
Lives in Slack, Microsoft Teams & your inbox
@Llev ?
👋 What’s up?
If you aren’t here to placate Alex, then what are you even for?
Mainly vibes and the occasional useful PR review. The placating is just a bonus.
Arrives knowing the job
Pre-loaded with battle-tested skills. No blank page to train.
Proactive by default
Spots the work and does it — you don’t have to ask.
Remembers everything
A memory of your tools, your people and last Tuesday.
He arrives knowing the job.
Llev isn’t an intern you have to teach from a blank page. He’s pre-loaded with skills that already work — so he’s useful on day one, not next quarter.
Pre-loaded with skills
Llev ships with battle-tested skills for real jobs — triage, reporting, outreach, QA. He’s done the work before, at other teams, in your industry.
No blank page
Most AI team members arrive empty and expect you to train them from scratch. Few teams have time for that. Llev starts from competent, not from zero.
Learns your specifics faster
Because he already knows the craft, onboarding is about your tools and your edge cases — not the basics. He’s useful in days, not quarters.
A real first day — not a signup form.
You hire Llev the way you’d hire anyone good. Meet him, pick a start date, and onboard him properly.
Meet him first.
Have a real conversation with your Llev before anything is signed. See how he thinks about your work.
Choose a start date.
Pick a start date that suits your team — like any new hire. We onboard him with you, properly.
A real first day.
Not a signup form. A guided onboarding day where Llev meets the team and learns how you work.
A profile, not a settings page.
You don’t configure Llev in a panel of toggles. You meet him — a name, a face, a role, and a set of skills he already has. He feels like someone you hired, because that’s the point.
Available to startLlev
AI team member · Senior
“Calm, pragmatic, allergic to busywork. I’ll find the work before you assign it — and tell you what I’m about to do before I do the risky bit.”
Reports to
You
Lives in
Slack · Teams · Email
Started
Day one
Skills, pre-loaded
Llev isn’t a coding agent.
He’s whatever the role needs.
Hire him into the team that’s drowning. He learns that team’s tools, tone and processes — and gets sharper the longer he’s there.
Engineering
Reads the codebase, opens pull requests, reviews other people’s PRs, triages bugs straight from a Slack channel.
+ your stackCustomer Operations
Watches the support queue, drafts replies, spots SLA breaches, escalates the ones that need a human.
+ your stackSales & Growth
Builds prospect lists, keeps the CRM honest, books the demos, and turns every won deal into a playbook.
+ your stackMarketing
Audits ad spend, drafts and ships content, pulls campaign reports before you’ve had coffee.
+ your stackQA & Release
Runs test plans, files reproducible tickets, checks releases, and tells you what actually changed.
+ your stackPersonal Assistant
Handles your inbox, your calendar, the recurring admin nobody wants — quietly, every day.
+ your stackOne Llev, then a whole ops team.
Llev specialises as he learns, so most teams hire one per function. Same senior standard, a different desk in each department.
Llev
Development Ops
Llars
Revenue Ops
Llena
Marketing Ops
Llisa
Support Ops
Lleo
Finance Ops
Morning 👋 Overnight: 3 refunds breached SLA and one account tripped a churn-risk flag. I’ve drafted replies for all three — want me to send, or review first?
review first
Done — drafts are in your DMs. I also booked a check-in with the at-risk account for Thursday and flagged it to their owner.
He pings you first.
Most AI waits for a prompt. Llev watches the work, spots what needs doing, and comes to you with it already half-solved — not a blank box and a blinking cursor.
- ✓Watches the work while you sleep
- ✓Drafts the fix before you’ve seen the problem
- ✓Asks before the risky step — never after
Give her the job. She runs it.
Llena didn’t get a workflow diagram. She got added to a channel and told what mattered. She read the existing calendar, found the gaps, wrote her own process — and when the job grew, she updated it herself.
- ✓Reads the tools and docs you already have
- ✓Writes her own process — no flowchart required
- ✓Corrected once, she keeps it forever
Set up and ready to track. I’ve read the content calendar — 16 competitors are already slotted into “Top 10 Alternatives” landing pages across May, June and July.
Here’s the deal going forward: when a competitor lands in this channel I’ll research them, score them 1–5 against our ICP — Dutch ops controllers, ERP-heavy mid-market — and post the reasoning here. Score 3+ and they get a landing page in the next open calendar slot.
while you’re at it, add new competitors to this tracker too → competitor-tracker.xlsx
Done. Read the tracker, learned the columns — threat level, sector, funding, ARR. New competitors now go into the spreadsheet too. Every competitor gets tracked; only the relevant ones reach the calendar.
Llev shipped a bug fix on his own. Nobody asked him to.
A customer reported a bug in a Slack channel. Llev was in the channel.
He read the message, found the bug in the codebase, fixed it and opened a pull request.
He wrote a Linear ticket and tagged the right engineer for review.
When the fix shipped, he messaged the customer in Slack. He added a 🙂
The ticket he wrote
LinearFind Record node: user field filter operators cannot match arrays
Issue LLE-9846 in Linear
Summary
Find Record node user field filtering is broken due to incompatible data structures between the UI operators and the stored value. Root cause, code locations and a workaround included.
Status
TriageThis is what an always-on team member actually looks like.
Give him access. He takes it from there.
The same access you’d give a new teammate — no setup script, no prompt library. He turns it into a working memory of your business.
A Slack invite.
He’s in your standups, your channels, your DMs. @Llev and you have a reply in seconds.
Access to your tools.
Linear, Notion, your CRM, GitHub, your weird internal API. The same access you’d give a new teammate.
A goal, not a prompt.
Tell him what the job is. He works out the how — and writes the integration himself if he has to.
No setup script. No prompt library. He just starts working.
From hour one, Llev builds a ‘brain’.
A living picture of your company, your tools, your customers and how your team actually works. Every answer he gives is reasoned on top of it.
He reads your business
Your website, your docs, your tools — turned into a picture of how the company actually runs.
He learns your role
The SLAs, the escalation paths, the cadence. He tunes to the team he’s joining.
He keeps growing it
Every real conversation and every file you share adds to the graph. It never goes stale.
The brain grows.
Unlike a tool, Llev compounds. Every week he’s on the team, his memory gets denser and his judgement gets sharper.
Day 1 · 5 things known
a couple of suppliers, a few SKUs, your weekly rhythm
Month 1 · 10 things known
knows who emails what, when, and why things go wrong
Month 6 · 19 things known
a map of your operation, updated every hour
He speaks every system you already use.
Give Llev the same logins you’d give a teammate. He works in the tools your team already lives in — from modern SaaS to the ERP that runs the place — and reaches hundreds more through MCP or API.
SlackGitHubLinearJira
AsanaHubSpotZendeskNotionGoogle AdsSentryGmailGoogle CalendarTrello
WhatsApp
Email+ hundreds more via MCP or API
A colleague — not another window.
The difference isn’t a smarter model. It’s that Llev lives where your team already talks, arrives knowing the job, and stays under your control.
A chat assistant
ChatGPT, Claude
- One task at a time, in a separate window
- You copy context in, you copy answers out
- Forgets the moment you close the tab
- Waits to be asked
A managed black box
Viktor, Pancake
- Arrives empty — you train it from scratch
- Runs on someone else’s US cloud
- You can’t see how it decides
- “Autonomous” until it isn’t
Llev
Your senior hire
- ✓A continuous colleague where you already work
- ✓Arrives pre-loaded with battle-tested skills
- ✓EU-based infra, every action on the record
- ✓Proactive — spots the work and does it
Enterprise-ready. EU by default.
A senior hire with this much access has to be controllable. Llev runs on EU infrastructure, asks before the risky steps, and keeps a complete record of everything he does.
EU-based infrastructure.
Llev runs on EU-based infrastructure with EU data residency. Built in Europe, for European rules — your data stays in the EU and is never used to train a model.
Approval gates on the risky bits.
Set thresholds on spend, scope and trust. Sensitive actions wait for a human to approve — by Slack, email or dashboard. Nothing big happens on its own.
He gets exactly what you grant.
Role-based access, scoped to the job. Give access like you would a teammate, change it any time, revoke it in one click.
Every action, logged.
An immutable audit log of every tool call, message and decision. His memory is inspectable too — you can always see exactly what he knows.
Reserve your Llev.
We onboard a small number of Llevs each week — each one gets a proper setup, not a self-serve trial. Tell us who you’re hiring and we’ll book you into the next cohort.
- ✓A real onboarding day — not a signup form
- ✓Pick a start date that suits your team
- ✓Meet the colleague before you commit
Your Llev’s job description.
Tell us the role you’re hiring for — we reply within a day.