Rigorous AI Analysis
The analysis a single AI model can't give you.
Arena runs your question through multiple independent intelligence layers and synthesises them into one structured, actionable answer — in minutes.
How it works
- 01
Submit your question
Describe your question and choose your analysis depth — Advanced (powered by Tony) or Super (powered by Athena). No prompt engineering required.
- 02
Multi-layer analysis
Our intelligence stack analyses your question from multiple independent angles, then synthesises the results.
- 03
One clear answer
Receive a structured output — executive summary, recommendations, action items — ready to act on immediately.
What are you working on?
Choose the type of analysis that fits your question.
Tony or Athena will build a structured framework with clear trade-offs and a recommended path.
Pricing
Simple credit-based pricing. Pay for what you use.
| What you get | Credits |
|---|---|
| Advanced Analysis - powered by Tony2 credits | |
| Superior Analysis - Powered by Athena4 credits | |
| Follow-up question | 0.25 credits |
Advanced Analysis - powered by Tony
Superior Analysis - Powered by AthenaStart with 3 free credits — no card required.
Start your free analysis
3 credits on signup. No card required.
See what rigorous analysis looks like
Question
A company with 50,000 DAU is choosing between migrating their monolith to microservices vs. a modular monolith. Their team is 8 engineers. Analyse the real trade-offs, what the decision actually depends on, and what the right answer is for most companies at this scale.
Analysis output
The conventional answer — migrate to microservices for scalability — is wrong for this team size. At 50,000 DAU with 8 engineers, the operational burden of microservices would consume 40–60% of engineering capacity on infrastructure concerns alone. A modular monolith preserves the clean boundaries you actually need while eliminating the overhead you cannot afford. The decision depends on one thing: whether your scaling bottleneck is compute isolation or team autonomy — and at this scale, it is neither.