01
The instructions keep changing
Everyone prompts the same job differently, so the result depends on who happened to ask.
Turn repeated work into workflows you can trust.
We study one important process, build it into a reusable AI workflow, and prove it against real work before your team relies on it.
Works with
ChatGPT
Claude
Gemini
Grok
CursorWhat is Grokkit?
Grokkit builds custom AI workflows for teams: we study one important, repeated business process, turn it into a reusable, tested AI skill with clear inputs, outputs, and guardrails, and deploy it to the AI agent your team already uses (ChatGPT, Claude, Gemini, or Grok). For smaller, common jobs, Grokkit also runs a self-serve skill library — individually packaged, versioned skills you can install directly without a custom engagement.
The problem
Stop rebuilding the same instructions.
A clever prompt can produce a good answer once. Repeatable work needs a shared process your whole team can run and verify.
02
Good output still needs repair
Your team spends the time it hoped to save correcting structure, omissions, and avoidable mistakes.
03
The process lives in people’s heads
Your best way of working is hard to reuse, teach, or improve across the team.
Custom AI skills
We turn one repeated job into a tested AI skill.
Built around your process, then installed in the AI agents your team already uses. No prompt rewriting. No generic template to repair.
Time saved over time
One reusable skill cuts repeated prompting, checking, and rework on every run.
We automate your work
Not a prompt to copy-paste—we turn how your best people already do the job into exact steps, with guardrails baked in.
We test it before you trust it
We throw real prompts, messy inputs, and risky edge cases at it—so it holds up long after the demo ends.
Install it in the AI you use
The same versioned skill runs in ChatGPT, Claude, Cursor, Gemini, and Grok—switch tools without rebuilding the process.
Customer evidence
Real work. Evidence published responsibly.
We have more than five real customer workflows documented. Customer names, quotations, and measured outcomes are published only with explicit approval and the context needed to interpret them.
Explore the case-study libraryCustomer permission before attribution
Measured results separated from expected impact
Baseline and measurement window stated
Quotes kept in the customer’s own words
5+
real customer workflows documented
7
end-to-end case studies published
Explicit
human control and expected impact
A clear boundary
What we won’t automate.
Useful automation needs judgment about where it should stop. These are the default boundaries we bring to every workflow.
Read our security approachHigh-impact decisions without an accountable person
Financial approvals, access changes, customer commitments, and other sensitive actions stay behind an explicit review point.
Unbounded access to company systems
A workflow receives only the systems, permissions, and information required for its defined job.
Uncertainty disguised as confidence
Missing context, weak evidence, and low-confidence conclusions are surfaced for review instead of presented as fact.
More autonomy before the evidence supports it
Automation expands only after quality, exceptions, and outcomes have been evaluated against an agreed baseline.
What we build
Start with one job that matters.
Pick a job below to see what goes in and what comes back out — the same shape, every run.
INPUTOUTPUT
12 pages of raw call notes
CRM account history
Last 3 email threads
CUSTOMER BRIEF2 gaps flagged
Account context and current state
Open risks, with what is still unknown
Recommended next step and owner
Start with one process
What work should your team never have to explain twice?
Tell us how the job works today. We’ll help you determine whether it is a good fit for a custom AI workflow.
Discuss your workflow01
Tell us the job
Describe how the work gets done today, in your own words.
02
We scope it with you
We agree the inputs, the output format, and where guardrails belong.
03
You get a tested workflow
Installed in the AI tools your team already uses, ready to run.
Runs in the tools you already use
Need something ready-made?
Browse smaller, self-serve skills for common jobs.