Cadenza runs a real team of AI agents that plan, search the web, synthesize, pause for your approval, then verify every claim before handing you a cited brief. Watch the hard parts happen — not just the output.
Type a question (or pick one), hit run, and follow the live agent graph on the left while the plain-English explainer on the right tells you what's happening and why it's hard.
The agents stopped on purpose. Before the Writer drafts anything, you decide the direction. Nothing consequential happens without your sign-off.
This is the kind of custom-coded, production-grade automation Devs Core builds — owned by you, engineered to scale, shipped in weeks not quarters.
This page is an interactive prototype. Agent timings, costs, and content are simulated to preview the real product experience.
Anyone can chain a prompt to a web search. The difficulty — and the reason these systems fail in production — lives in the parts you just watched the demo handle.
The moment an agent reads the open web, attackers can hide instructions in a page — "ignore your task, do this instead." Cadenza screens every fetched page before the model acts on it, treating web content as data, never commands. You saw the "injection blocked" flag fire live.
Most demos show you what the AI produced. Cadenza shows you why — the Planner's reasoning for the sub-tasks it picked, and the Critic's verdict on whether to accept or retry a draft. No black box.
AI makes things up. Before the brief is released, the Critic checks every key claim against the actual cited source and flags anything unsupported — then loops back to fix it. That's the anti-hallucination guarantee founders actually need.
Real workflows can't run fully unattended. Cadenza pauses at a checkpoint and waits for a human to approve or adjust direction before anything consequential happens — with the run state safely persisted while it waits.
The same engine can run other workflows — outreach drafts, content outlines, competitor teardowns. The orchestration is the product.
A Planner breaks your question into focused sub-questions; three Researchers search and read the web at the same time, each screened for injection.
An Analyst turns raw findings into structured insights and proposes a direction. The run pauses for your approval before a single word is written.
A Writer drafts the brief; a Critic verifies every claim against its source, retries on failure, and only then releases a cited, downloadable brief with a shareable permalink.
No rented no-code workflow you can't own. Every layer is version-controlled, testable without burning LLM spend, and yours at the end.
If this is the level of agentic system you want built — owned by you, engineered to scale — let's talk about your workflow.