Yukara Labs
The hard calls
deserve better thinking.
Meet Yukara. A council of specialized AI agents that examines your options, challenges the obvious answer, and helps you move forward with clarity.
Less certainty.More understanding.
A more considered
way forward
The method
One question.
Many minds.
Yukara doesn't answer — it reasons. Every decision flows through a structured pipeline of specialized agents that disagree, refine, and converge.
- 01Planner Agent
Planner frames the problem
A lead agent decomposes your decision into the right sub-questions and recruits the right specialists.
- 02Specialist Agents
Specialists reason in parallel
Domain agents — strategy, finance, risk, behavioral — each produce their independent take with sources.
- 03Debate Loop
Critic forces a debate
An adversarial agent challenges weak arguments. Specialists update or defend. Trade-offs surface in plain text.
- 04Final Output
Synthesizer delivers a verdict
A final agent produces a structured outcome — recommendation, confidence score, top risks, and what would change its mind.
Capabilities
A sharper way
to see the whole picture.
Six primitives that turn a single LLM call into a real reasoning system.
Multi-agent reasoning
Planner, specialists, critic, synthesizer. Each agent has a job — none of them try to do all of them.
Decision simulations
Branch your decision into 3–5 plausible futures. Compare outcomes side by side before you commit.
Adversarial debates
Agents critique each other in plain English. The strongest argument wins — and you see exactly why.
Memory layer
Yukara remembers your goals, constraints, and past decisions — and reasons in your context.
Confidence + trade-offs
Every output ships with a calibrated confidence score and the trade-offs the agents weighted.
Fast by design
Staged inference and parallel specialists keep latency low — even when the reasoning is deep.
Inside a decision
See the thinking.
Not just the answer.
Every Yukara session is a transparent debate. You see who said what, who pushed back, and how the verdict was reached.
An illustrative, simulated debate about leaving a job to start a company. It ends with a recommendation to negotiate a three-month sabbatical and an example confidence score of 0.82.
Should I leave my job to start the company full-time, or stay six more months and bank runway?
- PlannerFrames the decision
Reframing this as a 3-axis problem: financial runway, optionality, and signal to future investors. Recruiting Strategist, Quant, and Risk.
- StrategistSpecialistweight 0.34
Leaving now buys 14 months of full-time conviction. The market for this product is opening, not closing. Recommend leave.
- QuantSpecialistweight 0.31
Expected value of staying 6 more months: +$92k cash + warmer network. EV of leaving now: -$48k but +1 product cycle. Slight edge to leaving.
- RiskSpecialistweight 0.35
Single-income household + 9 months runway is fragile. Recommend negotiate a 3-month leave first, then commit.
- CriticAdversarial
Strategist is double-counting market timing. Risk is right that the constraint is liquidity, not conviction. Pushing back.
Negotiate a 3-month sabbatical first.
Test conviction with limited downside. Re-evaluate at month 3 with real product signal. If traction is real, leave. If not, you keep the runway.
- Runway preserved
- +9 mo cushion
- Conviction tested
- real signal
- Optionality lost
- −1 product cycle
Why Yukara
An answer is easy.
Understanding is harder.
A general-purpose chatbot is a brilliant intern with no second opinion. Yukara is a structured council that argues until the answer holds up.
Single-perspective answer
Multi-agent debate with explicit trade-offs
Free-form prose, hard to act on
Verdict, confidence, top risks, and what would change its mind
Resets every chat — no real context
Remembers your goals, constraints, past decisions
Sounds confident regardless of evidence
Calibrated score per recommendation, surfaced upfront
Hidden — agrees with your last message
Adversarial critic forces the strongest counter-argument
Black box — no traceable reasoning
Full transcript of every agent, every revision
Use cases
Every crossroads
has more than one path.
Career moves
Job offer vs. counter-offer. Senior IC vs. management. Yukara weighs comp, optionality, and your own goals.
“Should I take the staff offer at the larger company or the lead role at the startup?”
Startup & product strategy
Pricing, positioning, when to ship, when to kill. Specialists debate the call before you commit a quarter.
“Do we go horizontal or stay narrow until we hit $1M ARR?”
Investment decisions
Concentrated bets, allocation shifts, exit timing. Risk and Quant agents argue the downside in plain English.
“Trim the position now or hold through the next earnings cycle?”
Life decisions
Relocation, big purchases, education, partnerships. The ones you can't Google your way out of.
“Move cities for a 30% pay bump or stay near family and compound here?”
Built in the open.
Better because of it.
Yukara's reasoning engine is being released under a permissive license. Self-host, fork, audit, and ship your own specialist agents on top of the core. Built in the open from day one.
Self-hostable
Run the entire stack on your own infrastructure. No data ever leaves your environment.
Bring your own models
Plug in OpenAI, Anthropic, local Llama, or mix providers across agents in the same run.
Audit every token
Every prompt, tool call, and revision is inspectable. Nothing happens behind a black box.
Ready to think
differently?
Join the early access list and be among the first to explore a more thoughtful way to make your next big decision.