Persistent agent machine · Model-agnostic · Hosted in Europe

Meet Blitz: your AI operator with its own computer.

BlitzClaw gives your agent a persistent machine with memory, files, browser, shell, tools, schedules, and approvals — so it can keep working on research, follow-ups, monitoring, briefings, and execution even when you are not at your laptop.

Chatbots answer. Coding agents work inside repos. BlitzClaw works inside your business: a controlled autonomous employee for recurring work and long-running tasks.

Persistent

Memory, files, and unfinished work survive every chat session.

Swappable

Models, tools, skills, and runtime can evolve without losing the agent.

Autonomous

Scheduled work and monitoring continue while your laptop is closed.

BlitzClaw persistent AI operator workstation with memory, tools, schedules, approvals, and completed work cards

What you delegate

Install recurring work, not another inbox.

The agent computer matters because it gives work somewhere to live. Blitz can wake up, inspect context, use tools, prepare artifacts, and come back when there is something worth your attention.

Every morning, check my priorities, loose ends, calendar context, and tell me what needs attention.

Daily operator briefing

Blitz wakes up on schedule, reads the workspace it has built over time, and brings back a short, useful operating brief before your day starts.

Track open conversations and draft the next message when someone needs a reply.

Follow-up engine

It remembers the context, prepares the answer, and waits for approval before anything external leaves the machine.

Watch these companies weekly and brief me on product, pricing, hiring, and positioning changes.

Competitor and market monitor

Recurring research stops being a tab you forgot to open. Blitz keeps the watchlist alive and escalates signal when it appears.

Before this call, prepare context, agenda, likely objections, and the follow-up angle.

Meeting and decision prep

The agent uses memory, files, browser checks, and prior work to prepare the memo you would otherwise assemble manually.

Turn this messy outline into slide concepts, speaker notes, and consistent image-generation prompts.

Presentation Director

Blitz can keep your style memory, prepare visual directions, generate assets after approval, and save everything for the next iteration.

Implement this change, run the tests, verify the deploy, and tell me what changed.

Build, test, and deploy

For product work, Blitz can operate in repos and terminals while still carrying business context and approval boundaries.

AI operator for teams

Start with one recurring workflow your team already hates.

The strongest operator products do not sell “an agent”. They sell a coworker that shows up where work already happens, owns a specific recurring job, and asks before it crosses a boundary.

BlitzClaw turns that into a managed operator workstation: Slack, Teams, Telegram, or web as the front door; a persistent computer, memory, files, browser, schedules, and approval logs behind it.

Packaging shift

From “configure a bot” to “hire a workflow”.

Old: connect a channel, pick a model, learn the runtime.
New: choose one job, define inputs and approvals, get the first report in your team channel.

Founder / Leadership

Weekly operator brief

Pipeline, customer signals, calendar risks, open decisions, and competitor moves summarized before Monday starts.

Sales / RevOps

Follow-up and CRM hygiene

Accounts are prepared, stale deals are flagged, next messages are drafted, and nothing goes out without approval.

Ops / Finance

Revenue and cost review

Invoices, subscriptions, unusual usage, overdue tasks, and budget deltas turn into one approval-ready weekly packet.

Product / Engineering

Issue triage and build coordination

Bugs, PRs, customer feedback, and parallel coding tasks get organized into a clear execution plan.

Before Blitz
After Blitz
Five dashboards, three Slack threads, and a half-finished note before the weekly meeting.
Blitz posts one briefing with sources, risks, proposed actions, and approval buttons for anything external.
Follow-ups depend on who remembers which customer, deal, or candidate needs attention.
Blitz checks the open loops, drafts the next step, and waits before sending or changing CRM state.
Agents are impressive demos, but nobody owns the recurring workflow after the first week.
One recurring task lives on the agent computer with schedule, files, memory, logs, and guardrails.

Why it is different

Under the hood: an agent computer you control.

BlitzClaw is not one prompt box glued to one model. It is a persistent OpenClaw runtime: a dedicated machine with state, tools, skills, schedules, and controlled autonomy.

That means model choice, vendor independence, durable memory, German/EU infrastructure posture, and the ability to keep work alive across days instead of squeezing everything into a single chat.

BlitzClaw agent computer architecture stack showing dedicated infrastructure, memory, swappable models, skills, schedules, approvals, and chat control

Own computer

A dedicated machine for the agent

Blitz has a persistent workspace with files, shell, browser, tools, schedules, and long-running context instead of living only inside a chat tab.

Persistent memory

Your work does not reset every session

Markdown memory, project files, open loops, preferences, and artifacts stay available so the agent can continue work days or weeks later.

Model agnostic

Use the right model for the job

The runtime is not married to one vendor. OpenAI, Anthropic, and future/local models can be swapped per workload as the frontier changes.

Vendor independent

The agent is its files, not one provider account

Because state lives in the workspace, the model, skills, runtime, and even the agent personality can evolve without losing the operating layer.

Germany / EU posture

Dedicated managed infrastructure in Germany

BlitzClaw runs managed agent machines on dedicated European infrastructure, with clear separation between workspace, credentials, and approvals.

Autonomy with control

Long-running work, approvals for sensitive actions

Monitoring, preparation, drafting, and checks can happen automatically. Sending, deleting, spending, credentials, and external changes stay approval-first.

Not another chatbot

Coding agents work inside a repo. BlitzClaw works inside your life and business.

The difference is not a nicer chat UI. It is an operating environment where the agent can remember, return, monitor, and follow through.

Chatbots

Great answers. Weak ownership.

Wait for your next prompt
Lose operating context easily
No durable machine, files, or routines by default

Coding agents

Powerful inside a repo.

Excellent for implementation
Mostly scoped to software work
Not designed as the operator layer for your whole business

BlitzClaw

An AI operator with its own computer.

Persistent workspace, memory, tools, and schedules
Model-agnostic and vendor-independent runtime
Works from chat or voice while you are away from the laptop

Skills and approvals

Autonomy where useful. Approval where it matters.

Blitz can run recurring checks, prepare drafts, build assets, and organize work automatically. Sensitive actions stay behind explicit approval.

Approval required

Send external messages

Approval required

Delete or overwrite important data

Approval required

Spend money or change subscriptions

Approval required

Use sensitive credentials

Book workflow mapping

Book a 30-minute operator workflow mapping.

Bring one messy recurring workflow. We will map inputs, outputs, guardrails, and whether Blitz should own it for you.

Browse concrete use cases →

No spam. We will reach out personally and map one concrete operator workflow with you.