Claude Sonnet 4.5: 61% Reliable AI Agent - Copilot, Not Autopilot

Everyone's talking about Claude Sonnet 4.5 hitting 61% reliability as an AI agent, but the smartest teams see a rare window to win while others wait.
61% sounds low until you map it to the right work.
Use it as a copilot, not an autopilot.
The gap is where you can quietly pull ahead.
I noticed that agent reliability matters less than task design.
When steps are small, observable, and reversible, 61% becomes useful.
The truth is most value comes from assistive, not fully autonomous, paths.
Define success, guardrails, and handoff before you press run.
Measure end-to-end outcomes, not just model benchmarks.
In controlled tests, Sonnet 4.5 opens apps, edits files, and fills forms.
That is three wins out of five tasks on average.
Example math.
If an agent drafts five customer replies, three ship as is, two need light edits.
A reviewer spends 20 seconds per draft and still saves minutes per ticket.
Quality holds because a human owns the send button.
↓ A simple framework to deploy a 61% agent safely.
↳ Pick low-risk, high-volume tasks where partial work still saves time.
↳ Force short steps, clear checklists, and instant cancel or rollback.
↳ Keep a human-in-the-loop with batch review and one-click accept.
↳ Track success rate, cycle time, and rework, then tune prompts and tools.
↳ Graduate tasks only after hitting a proven 90%+ assisted success rate.
⚡ You reduce cycle time, cut toil, and learn where agents break.
⚡ You build a playbook now while competitors wait for 100% that never comes.
What is the first workflow you would trust a 61% agent to touch?