What Clyro Looks Like Over Time.
The "what does it actually do for me at month one" question. Day 1, Week 2, Month 1, Month 3, with what shows up at each stage and what changes for you.
Day 1
Replay and debugging, immediately
One install, one line of code. Every decision your agent makes is replayable. The weird behaviour you noticed at 3pm is no longer guesswork: you see the exact context, the exact tool calls, the exact decision.
Three-hour debugging sessions collapse to fifteen minutes.
Week 2
Runtime policies, set and enforced
You define the rules: refund caps, action limits, escalation triggers. They run before the agent acts, on every machine. The first runaway loop or rogue action that gets caught pays for the year.
Failures move from incident reports to blocked-on-the-spot.
Month 1
Patterns nobody told you about
The Intelligence Layer surfaces patterns you did not know existed. "Your agent fails 78% of the time when context exceeds 4000 tokens." "Friday-evening runs cost 3× more than weekday averages." Hypotheses become measurable.
You start fixing the cause, not the symptom.
Month 3
ARI, trending up
Agent Reliability Index per agent, tracked over weeks. You can show your manager a chart: 40 → 65 → 78. The Coverage Dashboard rolls policy + violations + drift into one number per agent, and your CISO has something to point at.
Reliability is a metric, not a feeling.
Why the curve bends
The Prevention Stack pays back in week one: a single prevented loop or rogue action covers the year. The compounding value, the part nobody else has, is what Clyro learns about your agents over time. Patterns, baselines, ARI trajectories. None of that is in a competitor's dashboard, because none of them have your history.
Switching off Clyro at month six is not a migration cost. It is a memory loss.