Your work matters. So why trust it all to a single AI?
Even the best model, working alone, hallucinates, doubles down on its mistakes — and nobody catches it.
Like people, AI is stronger as a team.
Your chief of staff assembles the squad, teammates critique and cross-check each other's work — then submit only the best result. All you do is approve.





AI from rival labs, seated at one table. The one in the gat at the center is Prince Cheongun, Yi Gyeol — that's you.
Your AI crew, waiting to be summoned
Hallucination isn't a bug — it's the structural limit of any single AI. There is no verifier.
Mijeonsil solves it with a cross-checking team: models from rival labs challenging and filtering each other's answers.
It produces a plausible wrong answer, and no one pushes back. The mistake becomes your risk.
A researcher investigates, a specialist produces, a reviewer rebuts. Different models catch errors from different angles.
For every task, your chief assembles the optimal squad, runs the meeting, and submits only the verified final draft to you.
Once the crew has cross-verified the final deliverable, it lands on your desk as a formal approval request.
Approve it — or reject with feedback and they rework it. You only make the call.
"Awaiting your approval."
Market research, trend analysis, competitor benchmarking, decision briefs — your office handles it.
Proposals, contract drafts, compliance review, financial analysis — divided across departmental AI staff.
An architect, engineers, and a QA reviewer implement in relay and deliver cross-verified code.
From visual concepts and design prompts to image generation and browser-rendered video.
Audience analysis → copywriting → SEO/compliance review: a triple chain that ships publishable material.
Recruit and deploy your AI talent pool — a virtual org that tracks contribution and workload.
The chief you appointed analyzes the task and decides which roles are needed — a simple job gets one budget model, nothing more
AI teammates with names and job titles are staffed to match each model's specialty
Departments produce and hand off deliverables in relay
In the TF meeting room, teammates talk like real colleagues — critiquing and reviewing each other
The best result is submitted for your sign-off
The right model for each difficulty level: frontier models for hard reasoning, budget models for repetitive work — quality and cost, both under control.
The choice of models is entirely yours. Staff your office with any combination you want.
For data protection, models hosted in certain jurisdictions are disabled by default and must be opted in. Your own fine-tuned models can join the team too.
You see the estimated cost before each task and the exact charge after — down to the cent.
Bring your own API key and those calls are not billed. (Subscription applies separately)
Work never stops when the wallet runs out; overage is simply added to your next invoice.
Meeting cost depends on your crew — roughly $0.35 with budget models, $1.35 balanced, $3.90 frontier. You see the estimate before every run.
Launch pricing — may increase later; early subscribers keep their original price for as long as their subscription stays active.