10XLEVER FIELD NOTES
Stop starting over with AI
A prompt becomes useful infrastructure only when someone can repeat it, verify it, and recover when it fails.
Start with a recurring output
Choose one thing you produce repeatedly: a meeting brief, a customer reply, or a weekly summary. Write down who uses it, what good looks like, and what a mistake would cost. If the output is not useful to someone, automating it will not make it useful.
Separate stable instructions from changing inputs
Keep the goal, format, constraints, and examples in a reusable brief. Supply the week’s source material separately. Use only approved information and make the source of each material claim traceable. This is the beginning of a system, even before adding software connections.
Build a check before a connection
Try ordinary inputs, incomplete inputs, and an example that should trigger refusal or escalation. Define the review a person must perform. An attractive draft that takes longer to correct than to write is not a productivity gain.
Automate only after the pattern holds
A template may be enough. If stable steps repeat, conventional automation may be better than an agent. If reasoning and tool use are justified, add narrow permissions, logs, retry limits, and a stop control. Keep external actions behind explicit approval until the process earns more trust.
Measure the whole loop
Record the original time, preparation time, AI time, review time, correction time, and ongoing maintenance. Compare quality as well as speed. Keep the workflow only when the complete process improves—not because the model generated something quickly.