Review a document
Something a model shouldn’t sign off on alone — a contract clause, a medical note, a flagged edge case. A trained person reads it and decides.
Human in the loop — as infrastructure Human in the Loop for Reliable AI:
Human in the Loop for Reliable AI:
One API Call Away
When your agent hits something only a person can do — review a doc, make a call, judge ambiguous data — hitl.ph routes it to a real human in minutes, and the result flows straight back into your workflow.
routing to Balanga, PH…
01 — The gap hitl.ph
Agents are brilliant. Until they hit a thing only a human can do.
Every serious agent workflow runs into the same wall: a step that needs real world judgement, a voice, a pair of eyes, or someone willing to be accountable for the answer. Today that step just fails, or quietly hallucinates. hitl.ph gives it somewhere to go.
Why AI Projects Need Human Validation
02 — The failure rate MIT · State of AI in Business 2025
95%
of enterprise AI pilots fail to deliver measurable impact.
Not because the models are weak. Because almost nobody gives the workflow a reliable, structured way to reach a human when it matters. That is the missing layer, and it is the layer we build.
AI without systems is just noise. Outer Edge is our sister company: systemising and preparing your business for AI deployment and use.
Get your business readyWhat you can send to a human in the loop
03 — What you can send Five task types
Make a phone call
Confirm a booking, chase a supplier, verify a detail. The jobs that still need a voice on the line.
Validate ambiguous data
Two records that might be the same person. A field that doesn’t parse. The judgement calls models guess at and get wrong.
Take a photo. Check the world.
Confirm something physically exists, capture proof, eyeball a real world state your agent can’t see from a server — then send back what it found.
Make the call you can’t automate
The decision that needs real accountability — a person who owns the outcome, signs their name to it, and stands behind it. Not a confidence score.
How human in the loop works
04 — How it works One call out. A human back.
Step 01
Call it.
One POST /tasks or a hitl CLI command. Send a
brief, the task type, and how you want the answer back. API-key auth,
installed in under a minute.
Step 02
A human owns it.
Your task lands on our Balanga ops floor and a trained specialist picks it up — end to end, inside your working window. Not a crowdsourced lottery. A managed team with someone accountable.
Step 03
It flows back.
Poll GET /tasks/{id} or take it on a return hook.
A structured result your agent can read and keep moving — no human in
your loop, just one on call.
05 — The API POST /tasks
A human in the loop API, not another dashboard.
Wire it in as a human validation API when model output needs a person’s sign-off before it ships, or as a human review API when a judgement call needs a name attached. Either way it is the same endpoint: your agent sends a task, a specialist owns it, and structured data comes back. The full integration shape is in the docs.
06 — The workforce Balanga, Bataan, PH
Your AI’s
Extended Workforce
hitl.ph runs on Yoonet — a real team in Balanga, Philippines, already doing operational work every day for businesses across the world. You’re not renting an API that happens to find strangers. You’re plugging into a trained, managed workforce with a timezone that covers yours and a name attached to every result.
130+
Specialists on the floor
PH
Balanga, Bataan
24/5
Your working window
1:1
A human owns each task
Human in the loop pricing
07 — Pricing Pay for the humans, not the platform
Pay as you go
Send one task or a thousand. Metered per task, billed monthly. The easiest way to wire a human into your stack and see what happens.
$2.50 USD / task · no commitment
Studio
For agencies running steady volume. Fifty tasks a month, priority routing to the Balanga floor, a named ops contact who knows your workflow.
$500 USD / mo · 50 tasks included
Scale
Two hundred tasks a month for teams shipping agent products at volume. Same humans, more of them, tuned to your task types.
$1,500 USD / mo · 200 tasks included
08 — The bigger picture A Yoonet initiative
AI will cost the Philippines millions of jobs. Everyone is missing the point.
The warnings are right about the risk: a country built on outsourcing is exposed like nowhere else on earth. What they keep missing is the industry rising in its place. Human in the loop work, real people exercising judgement inside AI workflows, is set to become one of the fastest growing industries there is.
We intend to champion that change: educate the industry on the shift, train the workforce it threatens, and go on to create far more opportunity than is ever lost.
09 — Access
Give your agents a human to call.
We’re onboarding the first agencies now. Request access and we’ll send you a key.
Early access · no spam · a real person reads these