Hnetaiforce -

/** * POST /api/v1/hnetai/feedback */ router.post('/feedback', async (req, res) => const suggestionId, userId, feedbackType, rating, comment = req.body; await db('hnetai_feedback').insert( suggestion_id: suggestionId, user_id: userId, feedback_type: feedbackType, rating, comment, ); res.json( success: true ); );

// Persist raw suggestion for analytics await db('hnetai_suggestions').insert( suggestions.map(s => ( user_id: userId, suggestion_id: s.id, suggestion: s.text, confidence: s.confidence, )) ); hnetaiforce

+----------------------------------------------------+ | Document Editor | | -------------------------------------------------- | | ... text ... | | | | [ Get AI Help ] <-- button | +----------------------------------------------------+ /** * POST /api/v1/hnetai/feedback */ router

(You can replace this ASCII art with a Figma/Sketch design later.) I’d be happy to help you design and

try const completion = await openai.createChatCompletion( model: 'gpt-4o-mini', temperature: 0.2, messages: [ role: 'system', content: systemPrompt , role: 'user', content: userPrompt , ], max_tokens: 300, );

Sure! I’d be happy to help you design and flesh out a new feature called Since the name alone doesn’t give me a lot of context, I’ll start by asking a few quick questions, and then I’ll provide a complete feature spec (including purpose, user stories, UI mock‑ups, data model, API design, and a high‑level implementation plan) that you can adapt to whichever platform you’re working on (web, mobile, backend, etc.).