Why this works
AI is fast.
Humans are relentless.
You get both.
AI is great at research, planning, and organizing. It is terrible at calling your landlord and being firm about the security deposit.
Duckbill starts every task with AI — instant research, comparison, and prep. When the task hits the real world — a phone call, a negotiation, a human who needs convincing — a trained specialist takes over and doesn't stop until it's done.
You don't manage any of this. You don't check in. You just get a message that says "done, here's what happened."
Research, planning, prep
Finds options, compares prices, preps call scripts, gathers everything a human needs to execute.
Calls, negotiations, follow-ups
Makes the calls. Sits on hold. Pushes back. Follows up. Charms, persuades, or politely annoys — whatever it takes.
Task complete
Summary of what happened, confirmation, next steps if any. Delivered to your phone.
We know our limits.
Duckbill works best when treated like a real execution partner.
What Duckbill is great at
- Real-world execution (calls, scheduling, refunds, vendors, paperwork)
- Operational tasks with clear outcomes
- Handling the annoying middle
What Duckbill is not great at
- -Taste-based decisions
- -Pure research (LLMs already do this well)
- -Deep social nuance
- -Fully autonomous multi-month projects without user guidance
Duckbill works best when you prompt it well.
Define "done"
What does success look like?
Give constraints
Dates, budget, preferences.
Provide fallback options
What if Plan A fails?
Treat Duckbill like an operator
Not a chatbot.
For the nerds
(because we love this stuff)
Duckbill is a human-in-the-loop execution platform.
Intent Ingestion
Tasks enter via chat, forwarding, or integrations.
Intent + context extracted. Execution plan generated.
AI Orchestration Layer
This is the control plane.
Routes tasks, injects user context, determines human actions, tracks state, handles retries.
Human Execution Layer
Trained operators. Not crowdsourced.
Make calls, send emails, navigate systems, follow up, handle edge cases.
Verification + Closure
Every task ends with confirmation.
Outcomes verified. Task closed. User notified.
Distributed operations team + AI control plane.
Real-world execution, packaged simply.
Production infrastructure underneath. Consumer-grade experience on top.