Maven stress-tests your engineering decisions with multi-agent adversarial debate — grounded in your own data. 3 minutes instead of a 3-day meeting.
The problem
The decisions behind the code still move at the speed of a Slack thread and a 30-minute meeting. Every hour of decision delay now wastes ten engineers instead of one.
Before AI
After AI (today)
When bad decisions ship at machine speed
CrowdStrike
One assumption, never challenged.
Cloudflare
Assumptions nobody inspected.
Atlassian
Capacity assumption never revisited.
“In every disaster post-mortem, somebody knew. Somebody had the objection. And somebody did not say it.”
The solution
Maven sits between “we've decided” and “we've built it.” It breaks every decision apart into claims, assumptions, and risks — then stress-tests each piece against real data from your own systems.
Extract Evidence
Pulls real context from 7 enterprise sources — GitHub, AWS, Slack, Notion, past architecture decisions, your database, and org structure.
Grounded in reality, not hallucination.
Adversarial Debate
7 specialized AI agents challenge every claim. A Proposer builds. A Challenger attacks. A Devil’s Advocate stress-tests catastrophic scenarios.
Unflinching dissent by design.
Epistemic Verdict
A structured audit: what can be asserted with evidence, what cannot, what risks remain. Clear certainty classification with explicit constraints.
Not a recommendation — an honest assessment.
The Comparison
The same architecture prompt, handed to three different reviewers. Here's what comes back — and what Maven catches that the others don't.
“Design a cross-region distributed caching layer for our user sessions.”
Architecture Review Board
- Depends on who happens to be free that week.
- Slows shipping to committee cadence.
- Edge cases surface only if someone remembers them.
ChatGPT / Claude / Copilot
- Dumps 500 lines of Redis config before asking a question.
- Hallucinates consensus. Ignores split-brain risk entirely.
- Violates your P95 latency SLA without knowing it exists.
Adversarial debate + live evidence
- Red-teams the design with adversarial agents.
- Cross-checks against your live cloud signals + ADRs.
“Cross-region sync cannot meet the 50ms P95 found in Prod DB telemetry.”
“Safe for single-region. Cross-region requires a formal CAP tradeoff.”
When Maven isn't the answer: one-file bug fixes, stylistic code review, throwaway prototypes. We're the layer between “we decided” and “we shipped.”
Try a real decisionHow it works
Describe your decision
Tell Maven what you're planning in plain English. "Design a rate limiter" or "Should we migrate from Postgres to DynamoDB?"
Evidence is extracted
Maven pulls real context from GitHub, AWS metrics, Slack threads, Notion docs, past architecture decisions, and production databases.
7 agents debate adversarially
A Proposer builds solutions. A Challenger finds flaws. A Devil's Advocate tests catastrophic scenarios. An Evidence Verifier validates every claim.
You get an epistemic verdict
Not a vague recommendation — a structured audit. What can be asserted with evidence, what cannot, what risks remain, and explicit constraints for safe deployment.
The agents
Each agent has a specific role, specific permissions, and uses a different LLM — so no single model's blind spots dominate.
Proposer
Generates solutions, claims, and assumptions to kickstart the debate
Challenger
Attacks weak claims, finds contradictions, and demands evidence
Devil’s Advocate
Stress-tests assumptions and explores catastrophic failure scenarios
Evidence Verifier
Validates every claim against real production data and tool outputs
Alt Generator
Creates alternative approaches and reframes the problem space
Integrator
Merges the strongest ideas, resolves conflicts between approaches
Process Judge
Monitors debate health, detects degeneration and circular arguments
DeepSeek-v3Permission-controlled state machine
Every turn is a structured transaction. Only the Evidence Verifier can add validated constraints. The Reducer enforces invariants.
Product preview
Explore a real decision getting stress-tested — from evidence extraction through adversarial debate to epistemic verdict.
Add audit logs to payment database
12 debate turns · 8 claims validated · 3 constraints added
- Append-only log preserves audit trail integrity
- WAL-based replication meets RPO < 1s
- Read replicas handle audit query load
- Write performance under 10K+ TPS concurrent audit inserts
- Cross-region consistency for distributed audit trail
Institutional memory
Every decision. Every assumption that turned out wrong. Every trap that caught someone six months ago. The memory compounds.
ADW
Active Debate Window
Live working memory for the current debate
TSRB
Task Replay Buffer
Frozen snapshots from previous epochs
TDC
Distilled Context
Compressed insights across epochs
GDM
Global Memory
Cross-task intelligence that compounds
Knowledge doesn’t walk out the door
When your best engineer leaves, their reasoning stays. Every lesson captured, structured, and searchable.
Decision quality compounds
Your 100th decision is better than your first. Maven catches risks in seconds that used to take hours.
Patterns flow into future debates
Failure patterns, effective strategies, known traps — extracted and injected via embeddings.
The missing layer
Use cases
Anywhere a team says “we have decided to...” and the cost of being wrong is real money.
Architecture Decisions
“Should we migrate to microservices?”
Vendor Migrations
“Is switching from Postgres to DynamoDB safe?”
Pricing Changes
“What breaks if we move to usage-based pricing?”
Hiring Plans
“Do we need a platform team or can infra scale?”
Market Entry
“Are we ready to expand to EU with GDPR?”
Compliance
“Does our auth flow meet SOC 2 requirements?”
Compliance
“Does our auth flow meet SOC 2 requirements?”
Market Entry
“Are we ready to expand to EU with GDPR?”
Hiring Plans
“Do we need a platform team or can infra scale?”
Pricing Changes
“What breaks if we move to usage-based pricing?”
Vendor Migrations
“Is switching from Postgres to DynamoDB safe?”
Architecture Decisions
“Should we migrate to microservices?”
We're working with early design partners to shape the product. If your team makes consequential decisions, we want to talk.