Callable human-in-the-loop infrastructure for AI agencies. One API call routes a task to a trained, accountable human and returns a structured result.
Status: Early access — onboarding the first agencies. Request an API key via the access form.
This page is the deep reference for hitl.ph. A condensed, machine-readable version lives at /llms.txt, and the complete knowledge document at /llms-full.txt.
hitl.ph is callable human-in-the-loop infrastructure for AI agencies and the teams building autonomous agents. When an agent reaches a step only a person can do — reviewing a document, making a phone call, validating ambiguous data, capturing something from the real world, or owning an accountable decision — it calls hitl.ph over an API or CLI. The task lands on Yoonet’s managed operations floor in Balanga, Philippines, a named specialist owns it end to end inside the client’s working window, and the result flows back as structured data the agent can act on. It is not crowdsourcing and it is not a model: it is a real, managed workforce exposed as infrastructure.
In one sentence: hitl.ph turns “a human needs to do this step” into a single API or CLI call, executed by a real, accountable person and returned as structured data. It is positioned as infrastructure, not a tool a person sits in front of — there is no human in your loop, just one on call.
Every serious agent workflow eventually hits the same wall: a step that needs real world judgement, a voice on a phone, a pair of eyes in a physical place, or someone willing to be accountable for an answer. Today that step usually fails, stalls, or — worse — the model quietly hallucinates a confident answer that is wrong. hitl.ph gives that step somewhere reliable to go.
Integration: REST API (POST /tasks, GET /tasks/{id}) and a `hitl` CLI, with API-key auth and optional return webhooks.
hitl.ph accepts five core task types, each mapping to a literal task.type value sent on the wire.
document.review Something a model shouldn’t sign off on alone — a contract clause, a medical note, a flagged edge case. A trained person reads it, applies judgement, and returns a decision with reasoning.
Typical uses: Contract clause review; Medical or clinical note check; Flagged edge-case adjudication; Quality assurance on model output.
voice.call Confirm a booking, chase a supplier, verify a detail. The jobs that still need a human voice on the line. The specialist makes the call and returns the outcome and any notes.
Typical uses: Booking confirmation; Supplier or vendor follow-up; Detail or identity verification by phone; Appointment chasing.
data.validate Two records that might be the same person. A field that doesn’t parse. The judgement calls models guess at and get wrong. A person resolves the ambiguity and returns a clean, confident answer.
Typical uses: Entity / duplicate resolution; Data deduplication and matching; Unparseable field interpretation; Edge-case classification.
world.capture Confirm something physically exists, capture proof, or eyeball a real-world state your agent can’t see from a server, then send back what was found.
Typical uses: Proof-of-existence capture; Physical state verification; On-the-ground photo capture; Real-world status check.
decision.own 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. A named specialist makes the call and returns it with their reasoning.
Typical uses: Accountable approval / sign-off; Ambiguous escalation handling; High-stakes judgement call; Human-owned exception.
All prices are in US dollars (USD).
| Plan | Price | Included | Notes |
|---|---|---|---|
| Pay as you go | USD $2.50 per task | — | No commitment |
| Studio | USD $500 / month | 50 tasks / mo | 50 tasks included / month |
| Scale | USD $1,500 / month | 200 tasks / mo | 200 tasks included / month |
Sending more than 200 tasks a month? Custom volume pricing is available — contact ben@yoonet.io.
Yoonet is an outsourcing company of around 130 specialists. Its delivery base is in Balanga City, Bataan, in the Philippines, and it is owned and managed from Dunedin, New Zealand. Yoonet has run managed operational work for businesses across the world for years; hitl.ph exposes that same workforce as on-demand infrastructure for AI agents.
hitl.ph is not a thin wrapper that finds strangers on demand. It is an established outsourcing company exposing its own trained, managed workforce as infrastructure — a real organisation, with real management, standing behind every result.
hitl.ph is onboarding its first agencies now. Request access and the team will send you a key.
For volume or partnership conversations, email ben@yoonet.io.