Viktor alternative: an AI chief of staff that keeps your own records

Viktor and this system are both described as an AI that does work for you, and that is about where the similarity ends. One is built to act across your company's software. The other is built to keep one person's record straight. Here is which job each one is for.

What Viktor is built to do

Viktor presents itself as a hire rather than a tool. On its own site it says it lives in Slack and Microsoft Teams, works with 3,200+ integrations (27 native, the rest through managed connectors), and carries out work across those tools: running campaigns, pulling reports, shipping changes. It asks before anything it cannot undo. If the job is "update the numbers in the CRM, the billing system and the ad account," that is the shape of work it is aimed at, and a company that lives in Slack and wants an AI colleague there has a real reason to look at it.

That is a strong design for a team whose work is writing into many SaaS tools. It is not the only way to use an AI, and it is not built around the question most founders and project leads actually lose time on.

What this is built to do

This is an AI chief of staff for one person. It reads the mail, calendar and meetings you are already in, and keeps a written record of what is going on: what was decided, who owes what, what is blocked, and what changed since the last conversation. Each project is a folder with a plain index file holding status, decisions, open questions and action items. Summary views are rebuilt by scripts, not edited by hand, so they do not drift out of date because upkeep was left to you.

When you ask "what did we decide about the CRO, and what am I still waiting on," the answer comes from that record, not from a search through old threads. Briefs before a meeting, follow-up lists after one, and status updates all come from the same place.

Where the two differ

Why the record matters more than the reach

Most trackers fail the same way: the work gets done, the tracker does not get updated, and within a month nobody trusts it. An AI that acts across ten tools but keeps its memory somewhere you cannot read leaves the same gap in a new place, because you cannot check what it believes is true.

Here the belief is a file. You can open it, correct it, and see what changed. For a founder or a drug-development lead, where the question in a hard week is usually "what did we actually commit to, and to whom," that checkability is the product.

The same reasoning is behind the stricter default on sending. Anything that leaves your hands, an email or a message, is written as a draft and waits for you. An assistant that can write into dozens of systems is more useful, and also carries more consequence when it is wrong. For regulated or relationship-heavy work, slower and checkable is often the better trade.

What this does not do

It does not write into your CRM, billing system or ad accounts. It does not live in Slack or Teams, and it is not an assistant your whole team talks to: it is installed for one person. It does not discover problems across a company's tools and propose fixes on its own the way a team-wide agent can. It is not a drug discovery tool, not a lab notebook, and not a validated system for regulated documents. If your real need is an AI colleague acting inside a team's software, Viktor is aimed at that, and this is not.

Which one to choose

Choose Viktor if your team already works in Slack or Teams and the bottleneck is doing the same task across many tools.

Choose this if your sources are mail, calendar, meetings and files on your own machine, you are one person carrying a lot of threads, and you want the record kept current and in your hands. If you are comparing AI agents for CEOs, an AI chief of staff for startups, or an AI executive assistant, the question to ask each is the same: where does the memory live, and can you read it?