sound familiar?
Why AI hasn't stuck on your farm.
If you've tried it and quietly gone back to the notebook, you're in the majority. It usually fails one of three ways — and none of them is your fault.
trap_01
The pocket chatbot
You ask a chatbot for advice and get someone else's farm back. Generic answers, confidently wrong about your beds, your flock, your market — because it knows nothing about them.
trap_02
The walled-in tool
One of your tools grows an AI button. But your farm lives in five places, so it can only see a sliver — it summarises the notes app while the answer sits in the spreadsheet.
trap_03
The unbriefed hire
You're told to "get better at prompting". But you wouldn't hand a new hire the keys with no walkthrough — and that's what AI without your standards, rules, and records is: willing, capable, completely unbriefed.
the pattern: it's not the AI — it's what the AI has to work with
three ways to hire it
Skills, workers, agents — know which one you're hiring.
"AI" hides three very different kinds of help. Naming them keeps you from paying for an agent when a skill would do — and from expecting judgement out of a routine.
level_01 · skill
A recipe for one job
Written instructions the AI follows when you call on it — your voice, your format, your standards. You trigger it, you check it.
e.g. "turn this voice note into a clean harvest log entry"
start here — cheap to try, easy to fix
level_02 · worker
A routine that runs itself
A fixed sequence on a trigger — same steps, every time, no judgement. Something lands, the routine fires, the records update.
e.g. whiteboard photo at day's end → totals filed → pick list updated
level_03 · agent
A hired hand with judgement
Watches, decides within the limits you set, and asks when it's unsure. The most powerful — and the most demanding of structure and trust.
e.g. frost in the forecast → sowings re-planned → changes flagged for your ok
Most farms should start with one skill and let trust build. Agents come last — they need the most structure underneath them, which is the point of everything below.
in use at bladrika — not a demo
I voice-log harvests from the field and photograph tray counts. A worker reads both, interprets them, and files kilos, bed, and crop into the right databases in my Farm OS — before I'm back at the wash station.
what that looks like in the records
voice note · 07:41 · "fourteen kilos salad off bed three"
harvests · bed_03 · salad mix · 14 kg · logged 07:42 ✓
why the system comes first
Everything on that ladder needs the same three things.
They happen to be the three parts of the trellis every Farm OS I build is shaped around.
posts · structure
The job, written down
Your areas, standards, and rules on paper — the briefing that turns a chatbot into a skill that works your way.
wires · connection
One connected place
So a worker can move information on its own — and see the whole farm, not the sliver one lone tool holds.
growth · records
Your farm's own story
Real records are the context that makes an agent's judgement yours — answers from your seasons, not the internet's.
AI is what climbs the trellis. Without the frame, it just sprawls.
That's why every build starts with the system, not the AI — it's the Trellis Framework, the same way I build every Farm OS. Curious where your farm stands? The farm check measures exactly these three parts.
from idea to daily habit
How AI actually lands on a farm.
Not a framework and a pat on the back. The same four moves, whether you build it yourself or we build it together.
Walk the workflow
Follow one job end to end — where information enters, where it gets re-typed, where it leaves. This is where the hidden rules surface.
most farms find half of it was never written down
Pick one clear win
For each step, one question: who should do this — you, the AI, or both? Choose the step where the rules are clear and the payoff shows within weeks.
one enterprise · one workflow · one win
Rebuild, don't bolt on
Reshape the step so AI can genuinely take part: rules written down, records structured, and a checkpoint where you approve before anything sticks.
the system gets better even before the AI does
Let it earn more
The first version is never the last. What starts as "it drafts, you approve" becomes "it handles, you spot-check" — one season of trust at a time.
trust is granted by results, not promised up front
asked straight, answered straight
What farmers ask about AI.
The rest belongs in a conversation — that's what the free discovery call is for.