ARC Labs
Free
ARC AI Stack Advisor
Turn a use case and real constraints into a defensible AI architecture.
Describe the use case, the data, the budget, and the constraints. Get a decision matrix: the recommended shape, what was ruled out and why, named cost drivers (never invented prices), and a board brief you can copy. Free, no account, nothing stored. Built for the decision teams are actually making now — when not to use an agent, when MCP needs an allowlist, and when the answer is a lookup.
Blueprint · kinesis-data-streams
- CategoryData · intermediate
- ShapeShards + EFO consumers
- When not to useSingle-consumer queue → SQS
- Failure modeHot shard / IteratorAge
- OriginDEA-C01 Kinesis lab
What it does
- Free on the site — no account, no email gate
- Recommended shape plus ruled-out alternatives with reasons
- Workflow vs agent, MCP/tool governance, copilot-on-a-lookup, on-prem, and the EU AI Act duties that already apply
- Deployment, model, and tooling classes — shapes, not product names
- Board brief you can copy or print
- Markdown / JSON export and a CLI
How it works
- 1Pick a starter or describe the use case, stack, constraints, team, and budget in plain language.
- 2Deterministic rules match that description to a published catalog of architecture shapes — not vendors.
- 3You get a decision matrix, a copyable board brief, named cost drivers, and the questions you still have to answer.
- 4Every finding quotes the sentence that triggered it. Same input, same output. Nothing is stored.
Who it’s for
CTOs, tech leads, finance partners, and teams with no ML practice who need an architecture they can defend — not a list of trendy tools.
What’s next
- Decision matrix + 28 published rules — shipped
- Situation gallery + board brief — shipped
- Human review of the golden suite
- Optional model narrative (phrasing only)
Need a human to read this report?
The report is the start. Studio turns findings into a plan with owners. Thirty minutes to see if that's worth it.