Never commit to an architecture on one model's opinion
Roundtable forces AI to challenge AI on your architecture decisions — trade-offs, security implications, operational readiness. Each model reads and challenges the others. What takes review boards weeks takes your AI council 15 minutes.
One Conversation. Zero Blind Spots.
Unlike single-model AI, Roundtable runs multiple models in parallel \u2014 and they can see and respond to each other.
Debating
Models surface genuine disagreements on architecture trade-offs and explain their reasoning.
Analyzing
Models examine architecture from different angles — performance, security, maintainability, cost.
Brainstorming
Models explore novel architecture patterns and alternative approaches.
Problem Solving
Models build on each other's proposals toward actionable architecture recommendations.
You choose the mode. You assign the roles. The models do the rest — and a Council Moderator synthesizes the consensus at the end.
Architecture Decisions Are Too Expensive to Get Wrong
Your team gathers context for days. The review meeting debates for hours. The ADR gets written \u2014 and six months later, you discover the decision was wrong because nobody considered the third option.
Context Gathering
Docs, wikis, tribal knowledge
Architecture Analysis
Manual. 1-2 weeks per decision.
Decision & Documentation
ADRs, review meetings, Confluence
6 architecture decisions per quarter.
Each one affects every engineer on the team. Microservices vs monolith, SQL vs NoSQL, build vs buy — every decision deserves more than one model's opinion.
Built for Engineering Teams Making Hard Calls
Whether you're picking between monolith and microservices or evaluating a new database, the bottleneck is the same: too many trade-offs, too little time, and no room for blind spots.
Engineering Leads
Make architecture decisions that affect the entire codebase. One wrong call means months of rework.
Architecture decisions with irreversible consequencesCTOs & VPs of Engineering
Evaluate build vs buy, select infrastructure, and plan technical strategy for the organization.
Technical strategy under uncertaintyPlatform Teams
Design shared infrastructure, evaluate new technologies, and maintain platform reliability.
Platform decisions that affect all teamsArchitecture Review Boards
Review architecture proposals, assess technical risk, and ensure design consistency across the org.
Review bandwidth vs. decision velocityWhy Asking ChatGPT for Architecture Advice Doesn't Work
Generic AI can summarize best practices. But architecture decisions demand adversarial thinking, operational context, and multi-dimensional analysis that a single model cannot deliver.
Confirmation Bias in Recommendations
LLMs optimize for confident-sounding answers. When you ask about microservices, you get a microservices pitch. Ask about monoliths, you get a monolith pitch. Architecture decisions need adversarial testing, not agreement.
Missing Operational Context
A single model doesn't know your team size, your deployment pipeline, or your on-call rotation. It optimizes for theoretical elegance, not operational reality. Architecture is as much about people as about code.
Single-Dimension Analysis
Architecture involves security, performance, cost, maintainability, and team dynamics simultaneously. A single model produces one coherent narrative but misses the tensions between dimensions that matter most.
Roundtable fixes this. When a Systems Architect and Performance Engineer debate the same design — and a Security Reviewer stress-tests the assumptions — confirmation bias gets caught, blind spots get flagged, and nothing gets past you.
Multiple Models Catch What One Misses
A single AI gives you a recommendation. But when architect, performance, security, and ops models debate the same decision \u2014 confirmation bias gets caught, blind spots get exposed, and trade-offs become visible.
Adversarial Review Kills Blind Spots
When the Systems Architect proposes microservices, the Pragmatist challenges the operational complexity. The Performance Engineer models the latency impact. Errors and blind spots don't survive cross-examination.
Multiple Perspectives, Complete Picture
Architecture isn't just about code structure. When Security, Performance, and Operations perspectives weigh in alongside the Systems Architect, the analysis becomes multi-dimensional.
Synthesis Through Deliberation
Codebase context, team dynamics, deployment constraints, and business requirements need cross-referencing. When models respond to each other, they naturally connect dots across dimensions.
Assign Roles. Start the Review.
In Roundtable, you pick the AI models and assign each one a role \u2014 just like staffing a real architecture review board. Here's a setup engineering teams use for architecture decisions:
Systems Architect
ClaudeSystem design, service boundaries, data flow, and long-term architectural sustainability.
Performance Engineer
GPT-4Latency analysis, throughput modeling, resource optimization, and scalability assessment.
Security Reviewer
GeminiAttack surface analysis, auth boundaries, data protection, and compliance requirements.
Pragmatist
GrokOperational complexity, team capacity, timeline constraints, and migration risk.
Monolith vs Microservices
Architecture migration strategy, service boundaries, operational readiness, and team organization assessment.
Data Layer Review
Database selection, schema design, caching strategy, and data pipeline architecture evaluation.
Infrastructure Audit
Cloud infrastructure review, cost optimization, reliability engineering, and disaster recovery assessment.
API Design Review
API design patterns, versioning strategy, backwards compatibility, and developer experience assessment.
Weeks of Review \u2192 15 Minutes of AI Debate
From ambiguous requirements to documented architecture decision.
- 1Gather context: codebase, team structure, constraints (1-2 days)
- 2Schedule architecture review meeting (1-2 weeks lead time)
- 3Present proposal, debate alternatives (2-4 hours)
- 4Document decision in ADR (2-4 hours)
- 5Revisit when implementation reveals missed trade-offs (weeks later)
- 1Describe the architecture decision and constraints
- 2AI models analyze from different perspectives — architect, performance, security, ops
- 3Council Moderator synthesizes consensus with trade-off analysis
- 4You review the analysis and make the architecture call
The Smartest Teams Are Already Using Multi-Agent AI for Architecture
Architecture decisions are too expensive to get wrong. The teams that deploy multi-perspective AI review first will catch the trade-offs their competitors miss.
of architecture decisions are reversed within 12 months
Thoughtworks Technology Radar 2024
10-100x
cost of fixing architecture errors post-deployment vs. design phase
IEEE Software Engineering Economics
of engineering time spent on accidental complexity from poor architecture
Stripe Developer Coefficient 2023
Google published a multi-agent architecture review framework. AWS Solution Architects use AI-assisted design validation. The pattern is clear: critical architecture decisions benefit from structured multi-perspective analysis.
"The cost of fixing a software architecture error after deployment is 10-100x the cost of catching it during design review."
An Architecture Review Board That Never Gets Tired
The same rigor on the last architecture decision as the first.
Consistent Rigor
Every architecture decision gets the same multi-perspective adversarial analysis. No reviewer fatigue, no rush-through approvals.
Speed to Decision
From ambiguous requirements to documented decision in 15 minutes. No waiting for review board availability.
Decision Documentation
Every decision includes the full reasoning trail — which trade-offs were considered, which risks were flagged, and why the verdict stands.
Built for High-Stakes Decisions
Roundtable is designed for confidential, critical work \u2014 architecture reviews, security assessments, infrastructure decisions.
Full Traceability
Every insight links to the model that produced it and the reasoning behind it. No black-box recommendations.
Your Code Stays Yours
Your code and architecture data stay private. API traffic is excluded from model training by our providers. All infrastructure runs on Cloudflare's encrypted global network.
Human-in-the-Loop
AI is the review board. You're the decision-maker. Roundtable accelerates your analysis — it doesn't replace your judgment.
Frequently asked questions
Built for Every High-Stakes Decision
Your Architecture Review Board Is Ready
Assign the roles. Pick the models. Ask the hard questions. Whether it's monolith vs microservices, build vs buy, or any architecture decision that deserves more than one perspective — Roundtable makes sure nothing gets past you.