Multi-company operations
Running multiple startups breaks tools that assume you only have one company.
A serial founder does not just have more tasks. They have multiple operating contexts: different payment accounts, stores, ad accounts, search properties, social identities, goals, competitors, and priorities.
The dangerous shortcut is blending context
If every connected account is poured into one AI memory or dashboard, a recommendation can be based on the wrong company. Good multi-company operations keeps authorization reusable while mapping each account, property, store, and identity to the company it belongs to.
Each company needs its own operating picture
For each startup, the founder should be able to see what sources are connected, what changed, which issues or opportunities are supported by evidence, what next steps are open, who owns them, and what outcome is expected.
The portfolio view should answer: Which company needs me most today—and why?
Then let the portfolio compound
Once company boundaries are reliable, the portfolio layer can rank attention across companies without blending their raw operating data. A founder can move from one company to another without reconstructing the context from scratch.
Where agents fit
ChatGPT, Claude, and other agents become more useful when they receive the right company context and a well-defined next step. The operating layer should decide which company, which evidence, and which permissions apply before an agent starts doing work.
Praecis
Praecis is designed around company-scoped operating intelligence for founders with more than one startup or project. Connected sources feed evidence-backed briefs and next steps; supported execution can make more of those actions delegable over time.