The team you couldn't afford. Working while you sleep.
Hire AI workers for every role β sales, ops, research, content. Give them the job; approve what they send. It runs on your Mac, your data stays yours, and nothing goes out without your yes.
You're the founder. And everyone else.
Sales, support, ops, the books β all you, all before lunch. A real hire costs thousands a month; a virtual assistant still needs managing. So the work only you can do keeps getting pushed to 9pm.
You're sales, support, ops, and finance β switching roles a dozen times a day, doing none of them justice.
A junior hire is thousands a month and months to ramp. A virtual assistant still needs you to manage them. So you stay the bottleneck.
Replies, quotes, follow-ups, admin β the busywork eats the hours, and the work only you can do waits until everyone else is asleep.
A workforce, organised like a real one.
askTheodor runs on your machine. A workspace holds many Companies; each Company has workers, plans, a Library, and a chief-of-staff who can spawn specialists, run plans, and summarise the week.
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Companies
Group workers, files, and conversations by client / project / domain. Each scope keeps its own Library + RAG index.
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Plans (DAG)
Big asks become a directed graph of tasks. The scheduler runs them as dependencies clear, retries failures, and reports a summary.
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Memory + Library
Every artefact lands in a tagged, searchable Library. Workers cite their sources. You open the doc with one click.
Watch the workforce work.
Scroll to follow a single task from ask to shipped β Theodor hands it off, a worker carries it out, and the result lands in your Library.
Work flows between your agents.
Theodor hands each task to the right worker and the results flow back β and when you connect one, an allied external agent joins the very same mesh. Every hop is logged, budgeted, and yours to pause.
Built for actual workdays.
Every worker keeps a private long-term memory + a shared Library. Yesterday's context shows up in today's chat without you re-pasting.
Theodor splits a big ask into tasks and routes each one to the right specialist. You approve plans; the scheduler runs the DAG.
Your prompts, files, embeddings, and credentials live on your machine. Use cloud LLMs for speed, or switch to local Ollama for absolute privacy.
Every doc your workers produce is auto-indexed. Search by meaning, not just by filename. Workers cite their sources in replies.
Workers keep going while you sleep. A daily digest tells you what shipped overnight β clickable, scoped, comprehensible.
Talk to a worker over voice; have replies read back. Per-persona voice profiles so each worker sounds like themselves.
Workers run a dev server, deploy over SSH, parse spreadsheets and PDFs, and search a codebase β persistent processes, ssh/scp, structured-file reading. Real ops, not just chat.
Stand up specialized askTheodor instances on your servers over SSH β Deep Research, DevOps, Marketing, or a full clone β running 24/7 and reporting back to you.
Guided plans + playbooks take you from idea to live: research, build & deploy a site, content, payments. Spin up a ready-made Creator-Studio team in one click.
Workers, not assistants.
Every persona has a name, a remit, a tool belt, and a voice. They take work from you, hand it to each other, and report back when they're done.
Workspace-wide. Splits work, picks specialists, reports back.
Owns the Library, RAG freshness, auto-categorisation.
Routes image + video briefs to the right generation provider.
Pick a persona from the catalog, or write one β they remember.
See how it all fits together.
A growing library of infographics β the workforce, the privacy model, the tools, the playbooks. One glance each.
From the 07:30 routine to the overnight digest β a full day of work flowing through your local AI team.
What makes up an askTheodor persona: a name, a remit, memory, a tool belt, and a voice.
How Theodor and the specialists are organised β a workforce that delegates like a real one.
The human-in-the-loop model: workers do the heavy lifting, you keep the final say.
An organised workforce, on your laptop.
saved each week by handing routine work to a worker who remembers yesterday.
cheaper than hiring a junior generalist. Pay only for the LLM calls; the workers are free.
to onboard a new worker. Pick a persona, give them a remit, ship.
Numbers above are illustrative β based on early-user feedback. Your mileage will vary by workflow.
One subscription. Every feature.
Download free and use everything for 7 days. After that, a license unlocks the app. No feature tiers, no per-seat upsell β every capability is in the single plan.
Billed monthly. Cancel any time. All features included.
or download the free 7-day trial β10β¬/month effective. Billed once a year. All features included.
or download the free 7-day trial βRun askTheodor as a 24/7 touch-screen receptionist β hotels, lobbies, entrance halls β multilingual and voice-ready. One subscription hosts several concurrent kiosks; each live kiosk is +50β¬/mo.
Teams & Enterprise β shared workspaces, SSO, and admin controls β are on the roadmap for the next few months.
Bring your workforce home.
Download free, try every feature for 7 days, then 12β¬/month or 120β¬/year unlocks it. Bring your own LLM keys β we never see them.