// Example: Dynamic prompt sizing based on transcription length
const systemPrompt = transcription.length > 1000
  ? getDetailedPrompt()  // Full context for long dictations
  : getConcisePrompt();  // Minimal tokens for short notes

// Section-based processing to reduce tokens
const sectionKeys = templateSections.map(s => s.id);
const response = await openai.chat.completions.create({
  messages: [{ role: 'system', content: systemPrompt }],
  max_tokens: Math.min(2000, transcription.length * 2),
});

// Medical record creation with AI disclaimer
const recordId = await supabase.from('medical_records').insert({
  id: `rec-${Date.now()}`,
  status: 'draft',  // Requires review
  soap_subjective: aiGenerated.subjective,
  // ... other fields
  notes: allNotes + '\n\n[AI-generated, requires veterinarian verification]',
});

try {
  const response = await fetch(`${API_BASE}/api/ai/transcribe`, {
    method: 'POST',
    body: JSON.stringify({ audio: base64 }),
  });
  // ... process transcription
} catch (err) {
  // Fallback 1: Use browser SpeechRecognition transcript
  if (browserTranscript) {
    setTranscription(browserTranscript);
    return;
  }
  
  // Fallback 2: Allow manual text entry
  setError('Server unavailable. Please use the Type tab to enter notes manually.');
  setInputMethod('type');
}