Updated app

src/ai/dev.ts

@@ -1 +1,5 @@
-// Flows will be imported for their side effects in this file.
+import { config } from 'dotenv';
+config();
+
+import '@/ai/flows/suggest-features.ts';
+import '@/ai/flows/classify-complexity.ts';

src/ai/flows/classify-complexity.ts

@@ -0,0 +1,52 @@
+// This is an autogenerated file from Firebase Studio.
+'use server';
+
+/**
+ * @fileOverview This file defines a Genkit flow for classifying the complexity of project features.
+ *
+ * - classifyComplexity - An async function that takes a feature description and returns its complexity classification.
+ * - ClassifyComplexityInput - The input type for the classifyComplexity function.
+ * - ClassifyComplexityOutput - The output type for the classifyComplexity function.
+ */
+
+import {ai} from '@/ai/genkit';
+import {z} from 'genkit';
+
+const ClassifyComplexityInputSchema = z.object({
+  featureDescription: z
+    .string()
+    .describe('A detailed description of the feature to be classified.'),
+});
+export type ClassifyComplexityInput = z.infer<typeof ClassifyComplexityInputSchema>;
+
+const ClassifyComplexityOutputSchema = z.object({
+  complexity: z
+    .enum(['simple', 'medium', 'complex'])
+    .describe('The complexity classification of the feature.'),
+});
+export type ClassifyComplexityOutput = z.infer<typeof ClassifyComplexityOutputSchema>;
+
+export async function classifyComplexity(
+  input: ClassifyComplexityInput
+): Promise<ClassifyComplexityOutput> {
+  return classifyComplexityFlow(input);
+}
+
+const prompt = ai.definePrompt({
+  name: 'classifyComplexityPrompt',
+  input: {schema: ClassifyComplexityInputSchema},
+  output: {schema: ClassifyComplexityOutputSchema},
+  prompt: `You are an expert project manager classifying the complexity of software features. Classify the following feature description as either 'simple', 'medium', or 'complex'.\n\nFeature Description: {{{featureDescription}}}\n\nComplexity:`,
+});
+
+const classifyComplexityFlow = ai.defineFlow(
+  {
+    name: 'classifyComplexityFlow',
+    inputSchema: ClassifyComplexityInputSchema,
+    outputSchema: ClassifyComplexityOutputSchema,
+  },
+  async input => {
+    const {output} = await prompt(input);
+    return output!;
+  }
+);

src/ai/flows/suggest-features.ts

@@ -0,0 +1,59 @@
+'use server';
+
+/**
+ * @fileOverview AI-powered feature suggestion flow based on project description.
+ *
+ * - suggestFeatures - A function that suggests features for a project based on its description.
+ * - SuggestFeaturesInput - The input type for the suggestFeatures function.
+ * - SuggestFeaturesOutput - The return type for the suggestFeatures function.
+ */
+
+import {ai} from '@/ai/genkit';
+import {z} from 'genkit';
+
+const SuggestFeaturesInputSchema = z.object({
+  projectDescription: z
+    .string()
+    .describe('A brief description of the digital product or project.'),
+});
+export type SuggestFeaturesInput = z.infer<typeof SuggestFeaturesInputSchema>;
+
+const SuggestFeaturesOutputSchema = z.object({
+  suggestedFeatures: z
+    .array(z.string())
+    .describe('An array of suggested features for the project.'),
+  scopeDefinitions: z
+    .string()
+    .describe('A paragraph defining the overall scope of the project.'),
+});
+export type SuggestFeaturesOutput = z.infer<typeof SuggestFeaturesOutputSchema>;
+
+export async function suggestFeatures(input: SuggestFeaturesInput): Promise<SuggestFeaturesOutput> {
+  return suggestFeaturesFlow(input);
+}
+
+const prompt = ai.definePrompt({
+  name: 'suggestFeaturesPrompt',
+  input: {schema: SuggestFeaturesInputSchema},
+  output: {schema: SuggestFeaturesOutputSchema},
+  prompt: `You are an AI assistant helping to define the scope and features of digital projects.
+
+  Based on the following project description, suggest a list of potential features and a paragraph defining the project's scope.
+
+  Project Description: {{{projectDescription}}}
+
+  Format the features as a bulleted list and provide a concise scope definition.
+  `,
+});
+
+const suggestFeaturesFlow = ai.defineFlow(
+  {
+    name: 'suggestFeaturesFlow',
+    inputSchema: SuggestFeaturesInputSchema,
+    outputSchema: SuggestFeaturesOutputSchema,
+  },
+  async input => {
+    const {output} = await prompt(input);
+    return output!;
+  }
+);