If you're handling experimental data, you know the drill. You've got a folder full of .txt or .csv files, and getting them into Excel in a clean format usually involves a annoying mix of Power Query or endless Copy-Paste. It's 2026, we shouldn't be doing this anymore.
I just finished a workflow using Mica to automate this entire pipeline. Instead of clicking through "Import Data" menus, I just told the AI what I wanted in plain English. It actually navigated my local file system, grabbed the raw data, and did the math for me.
"Import RawExperimentalData from Documents\workdata to Excel and compute the mean and standard deviation of the output at each temperature."Video: 0 to Finished Report in Seconds
How it handled the complex stuff
What impressed me most wasn't just the file import—it was the formula logic. Calculating a mean based on specific temperature criteria usually requires some annoying absolute referencing. Mica didn't just dump static values; it wrote the actual formulas into the cells.
Check out this syntax it generated on the fly:
=AVERAGEIF(ExperimentalData!$B$2:$B$47, A2, ExperimentalData!$C$2:$C$47)
That's a pretty heavy lift for someone who isn't a "Formula Ninja," but the AI nailed the range locking (those $ signs are easy to mess up). The whole process felt incredibly snappy. Since everything stays on my local machine, I don't have to worry about my company's data leaking into a public LLM training set.
If you're tired of being the "Excel guy" who spends hours cleaning columns, you should probably just automate yourself out of that job. It saves a ton of time, and the results are way more consistent than doing it by hand.