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