const ai = new Model()
await ai.analyze(data)
if (ok) deploy()
git commit -m "fix"
npm run build
{ status: 200 }
SELECT * FROM leads
POST /api/chat
0101 1010 0110
useEffect(() => {})
const ai = new Model()
await ai.analyze(data)
if (ok) deploy()
git commit -m "fix"
npm run build
{ status: 200 }
SELECT * FROM leads
POST /api/chat
0101 1010 0110
useEffect(() => {})

function optimize()
res.json({ ok:true })
docker compose up
curl -X POST /ai
<Component />
npm test --watch
✓ build ok · 0.8s
model.predict(x)
git push origin main
async () => data
function optimize()
res.json({ ok:true })
docker compose up
curl -X POST /ai
<Component />
npm test --watch
✓ build ok · 0.8s
model.predict(x)
git push origin main
async () => data

SELECT id, name
FROM clientes
WHERE activo = true
INSERT INTO leads
0110 0101 1100
webhook.on('lead')
deploy() -> success
buildTime: 148ms
npm install
git merge feature
SELECT id, name
FROM clientes
WHERE activo = true
INSERT INTO leads
0110 0101 1100
webhook.on('lead')
deploy() -> success
buildTime: 148ms
npm install
git merge feature

chatbot.reply(msg)
IA: analizando...
POST /leads 201
render(<App />)
tsc --watch
0011 1001 0101
uptime: 99.98%
npm run deploy
git status clean
build passed ✓
chatbot.reply(msg)
IA: analizando...
POST /leads 201
render(<App />)
tsc --watch
0011 1001 0101
uptime: 99.98%
npm run deploy
git status clean
build passed ✓