Choosing the right unit
When a prompt is enough, when a job deserves a skill, and when you actually need an agent.
The Grokkit blog
Writing about work you keep repeating.
Field notes on packaging repeated jobs as tested AI workflows — the decisions, the failure modes, and the boundaries that hold up after the demo.
41in-depth articles
12topics covered
Practicalno-hype guidance
Every article
Start with the problem closest to yours.
These are written for the person who already has AI working occasionally and wants it to work every time — with the same structure, the same evidence rules, and the same review in under three minutes.
Use caseTeam operationsFoundationsBuyer guideArchitectureTrust & testingLeadershipMethodContent strategySecurity & governanceBusiness caseComparisons
Architecture
Knowledge Base vs AI Skill vs SOP Doc: Where Each One Should Live
10 min readSep 13, 2026
Method
Input Contracts: Making Messy Notes, CRM Fields, and Transcripts Usable
11 min readSep 13, 2026
What this blog covers
Four themes, one argument.
Repeated work should be packaged as a procedure with checks and an owner — not re-improvised by whoever happens to be doing it this week. You can see that argument applied in the case studies.
Turning process into product
How an existing SOP becomes a workflow with explicit inputs, outputs, and a definition of done.
Proving it on real work
Test suites built from messy history rather than demos, and the checks that expose weak output.
Boundaries that hold
Guardrails, escalation rules, and approval points that survive contact with a deadline.
From reading to running
Bring us the process your team keeps rebuilding by hand.
We map the systems, rules, exceptions, and review points before deciding what should be automated — or point you at a ready-made skill if the job is a common one.
01Discover the real job
02Build it into a skill
03Test it on real work
04Deploy it to your tools