Interstrata vs Doing Nothing
THE SHORT VERSION
Most teams running AI agents today manage accountability with spreadsheets, Slack trawling, Google Docs postmortems, and hope. It works — until something goes wrong, costs spike, or someone asks 'what did our agents actually do?' Interstrata replaces manual reconstruction with automated, evidence-backed accountability that's always current and always provable.
Feature comparison
Zero cost: no software to buy, no integration to maintain
No learning curve: everyone already knows how to use spreadsheets and Slack search
Full flexibility: no constraints on format, process, or workflow
No vendor dependency: you're never locked into a platform's way of doing things
Automated vs. manual: Interstrata extracts decisions and builds timelines continuously
Provable vs. anecdotal: hash-verified evidence chains vs. 'I think we decided X in a meeting'
Surviving incidents: one-click binder export vs. 8-hour postmortem assembly under pressure
Institutional memory: Interstrata retains everything across employee turnover
Cost visibility: per-action attribution vs. a single monthly cloud bill with no breakdown
Who should use which
Choose Doing Nothing if:
→ You have fewer than 3 agents in production and incident risk is low
→ Nobody asks 'what did our agents do?' and there's no compliance requirement
→ Your team is small enough that everyone knows what happened through conversation
Choose Interstrata if:
→ Someone (VP, board, auditor) is going to ask 'what did our AI do and was it worth it?'
→ You've already had an incident where reconstructing what happened took hours
→ Agent costs are growing and you can't explain where the money goes
→ Team members are leaving and taking institutional knowledge with them