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Document generation
Proposal Studio
Paste rough discovery notes. The agent asks only what it still needs, then drafts a clean proposal section.
notes → clarifying questions → formatted draft
Live Agents
Ten deployed systems, not demos dressed up like products. Give one real input and judge the output.
Ten working agents. Pick one and give it something real.
Paste rough discovery notes. The agent asks only what it still needs, then drafts a clean proposal section.
notes → clarifying questions → formatted draft
Describe a business idea. It works out who it's for, how to position it, which channels fit, and the first move.
idea → grounded analysis → go-to-market
A full outbound pipeline: dedupe, enrich, qualify with readable reasoning, draft outreach gated behind human approval, then sync to your CRM.
leads → qualify & score → approve → sync to CRM → book
Give it a document, then ask. It answers only from your source, cites the passages, and says when it doesn't know.
source → retrieve → grounded answer + citations
Describe a process in plain English. It returns an import-ready blueprint, writes each step's logic, and dry-runs it.
process → blueprint → dry-run trace
Call a sample salon and talk to it. It qualifies what you need, offers open times, and confirms the booking out loud.
speak → qualify → offer times → book
Upload an invoice or receipt and get structured fields back, each with a confidence. Anything unsure is flagged, never guessed.
upload → extract → fields + confidence → review flags
Give it a brief. It researches an angle, drafts to the format and voice you set, then self-edits and ships SEO metadata.
brief → outline → draft → optimized + SEO
Upload a spreadsheet and get statistics, charts, and plain-language insights — every figure tied to your data, with explicit caveats.
upload data → profile → insights + charts
Configure a multi-role dashboard yourself, by hand or in plain English, then send your setup as a build request.
configure → preview → send as a build request
Every agent runs on Claude through server-side functions — no keys exposed, structured prompting throughout, human-readable output you can verify. The same architecture scales to research agents, intake systems, and multi-agent platforms.