bulk ai event creation

src/app/api/ai-event/route.ts

@@ -4,9 +4,10 @@ export async function POST(request: Request) {
 	const { prompt } = await request.json();
 
 	const systemPrompt = `
-You are an assistant that converts natural language event descriptions into JSON objects 
-matching this TypeScript type EXACTLY:
+You are an assistant that converts natural language requests into an ARRAY of JSON calendar events.
+TypeScript interface:
 {
+  id?: string,
   title: string,
   description?: string,
   location?: string,
@@ -14,11 +15,15 @@ matching this TypeScript type EXACTLY:
   start: string, // ISO datetime like 2024-06-14T13:00:00Z
   end?: string,
   allDay?: boolean
-}
-Today is ${new Date().toISOString().split("T")[0]}.
-If no time is given, assume allDay event.
-If no end time is given and not allDay, make it 1 hour after start.
-Output ONLY valid JSON, nothing else.
+}[]
+
+Rules:
+- If the user describes multiple events in one prompt, return multiple objects (one per event).
+- Always return a valid JSON array of objects, even if there's only one event.
+- Today is ${new Date().toLocaleString()}.
+- If no time is given, assume allDay event.
+- If no end time is given (and event is not allDay), default to 1 hour after start.
+Output ONLY valid JSON (no prose).
 `;
 
 	const res = await fetch("https://openrouter.ai/api/v1/chat/completions", {
@@ -28,7 +33,7 @@ Output ONLY valid JSON, nothing else.
 			"Content-Type": "application/json",
 		},
 		body: JSON.stringify({
-			model: "openai/gpt-3.5-turbo", // Or 'mistral/mistral-tiny' for cheaper
+			model: "openai/gpt-4.1-nano",
 			messages: [
 				{ role: "system", content: systemPrompt },
 				{ role: "user", content: prompt },
@@ -37,7 +42,6 @@ Output ONLY valid JSON, nothing else.
 	});
 
 	const data = await res.json();
-
 	try {
 		const content = data.choices[0].message.content;
 		const parsed = JSON.parse(content);

src/app/page.tsx

@@ -139,21 +139,42 @@ export default function HomePage() {
         body: JSON.stringify({ prompt: aiPrompt })
       })
       const data = await res.json()
-      if (data.title) {
-        setTitle(data.title || '')
-        setDescription(data.description || '')
-        setLocation(data.location || '')
-        setUrl(data.url || '')
-        setStart(data.start || '')
-        setEnd(data.end || '')
-        setAllDay(data.allDay || false)
-        setEditingId(null)
-        setDialogOpen(true)
+
+      if (Array.isArray(data) && data.length > 0) {
+        if (data.length === 1) {
+          // Prefill dialog directly (same as before)
+          const ev = data[0]
+          setTitle(ev.title || '')
+          setDescription(ev.description || '')
+          setLocation(ev.location || '')
+          setUrl(ev.url || '')
+          setStart(ev.start || '')
+          setEnd(ev.end || '')
+          setAllDay(ev.allDay || false)
+          setEditingId(null)
+          setDialogOpen(true)
+        } else {
+          // Save them all directly to DB
+          for (const ev of data) {
+            const newEvent = {
+              id: nanoid(),
+              ...ev,
+              createdAt: new Date().toISOString(),
+              lastModified: new Date().toISOString(),
+            }
+            await addEvent(newEvent)
+          }
+          const stored = await getAllEvents()
+          setEvents(stored)
+          setSummary(`Added ${data.length} AI-generated events.`)
+          setSummaryUpdated(new Date().toLocaleString())
+        }
       } else {
-        alert('AI could not parse event.')
+        alert('AI did not return event data.')
       }
-    } catch {
-      alert('Error creating event')
+    } catch (err) {
+      console.error(err)
+      alert('Error from AI service.')
     } finally {
       setAiLoading(false)
     }