AI can reduce repetition, but also add notifications, tools and decisions. Start by naming what you want less of in your working day. More output may not be your main goal.
A study by Microsoft Research and co-authors examines users' self-reported connections between generative AI, critical thinking and cognitive effort. These are self-reported assessments, not proof that AI changes everyone's thinking in the same way. They still give a reason to make reviewing results a deliberate part of work. Source: Microsoft Research.
Week one: notice repeated work
For a few days, record activities you repeat in similar form. Choose one small enough task, such as organising meeting notes. Measure the time it takes now and describe a usable result.
Week two: experiment and check
Create one instruction and try it on real material you are allowed to use. Always review the output. Note recurring errors and the context that reduces them. Don't connect the process to automatic sending yet.
Week three: make the method repeatable
Save the instruction, a good example and review questions. If you work in a team, let a colleague try the same task. Their questions show whether the instructions are clear enough.
Week four: decide what to keep
Compare time, corrections and your own experience. Did the work get easier? Is review manageable? Did the time go towards something you value? If not, change the method or end the experiment.
AILithe's name refers to flexibility. For us, that means adapting work to your needs and your team's. AI is one way to free attention for decisions, collaboration and life beyond work.
If you'd like to start with one of your own tasks, write to info@ailithe.com.