A Devs Core showcase · Custom-coded AI agents

AI agents that research, debate, and fact-check — live in your browser.

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.

Production stack · bring your own model & key
Claude / GPT / Gemini·LangGraph·FastAPI + SSE·React Flow·Redis·Postgres
workflow · ai-market-research-brief Live
The live demo

Trigger the workflow. Watch the agents collaborate.

Type a question, hit run, and follow the live agent graph while a plain-English explainer tells you what’s happening and why it’s hard.

Cadenza Console — AI Market Research Brief
Idle
▶ Recorded demo run
Live runs on your own API key are coming soon
Your research question
AI scheduling for dental clinicsAI support agents for e-commerceAI invoicing for accounting firms
Active Done Waiting on you Blocked
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Step
0
Tokens
$0.00
Your est. cost
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📖 How it works
Ready when you are
Press Run workflow. You’ll watch five kinds of AI agent hand work to each other — and stop to ask you for approval before writing anything.
Event log · decision rationale
No events yet. Run the workflow to see every decision, search, and verification stream in live.

This is a recorded run of the real workflow. Live runs on your own API key are coming soon.

Why it’s hard

Four things that separate a real agent system from a toy.

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.

01
🛡️

Prompt-injection defense

The moment an agent reads the open web, attackers can hide instructions in a page. 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.

02
🔍

Decision transparency

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.

03
✓

Claim verification

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.

04
🙋

Human-in-the-loop control

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.

Under the workflow

One question in. A verified, cited brief out.

The same engine can run other workflows — outreach drafts, content outlines, competitor teardowns. The orchestration is the product.

Step 1 · Plan & research

Decompose, then search in parallel

A Planner breaks your question into focused sub-questions; three Researchers search and read the web at the same time, each screened for injection.

Step 2 · Synthesize & approve

Insights, then your checkpoint

An Analyst turns raw findings into structured insights and proposes a direction. The run pauses for your approval before a single word is written.

Step 3 · Write & verify

Draft, fact-check, release

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 permalink.

Under the hood

Built like software, because it is software.

No rented no-code workflow you can’t own. Every layer is version-controlled, testable without burning LLM spend, and yours at the end.

LangGraph
Stateful multi-agent graph with native human-in-the-loop interrupts & retries.
Bring your own model
Run on your own Claude, GPT, Gemini, Llama or Mistral key — your tokens, your bill, never ours.
Model routing
Cheaper model for mechanical steps, your strongest for reasoning — cost controlled on purpose.
FastAPI + SSE
Async gateway streaming every agent event to the browser in real time.
React Flow
The on-screen graph mirrors the orchestration graph 1:1.
Injection guard
OWASP-aligned screening on all tool/web output before the model acts.
Redis + Postgres
Run state, pub/sub, rate-limiting, plus durable saved runs & permalinks.
Langfuse (self-hosted)
Traces, token/cost accounting & evals — your data stays first-party.

You just watched the pitch run itself.

If this is the level of agentic system you want built — owned by you, engineered to scale — let’s talk about your workflow.

Custom-coded AI agents & automation for US businesses · serving founders in Florida, Georgia & nationwide