Design Voiceflow Interface and Self-Correction

Design a basic conversational flow in Voiceflow that allows a user to specify a content topic and target audience. The Voiceflow agent should then call your Google ADK agent (via a webhook or API endpoint) to generate the multimodal concept. Implement logic within your ADK agent for self-correction: after generating a concept, it should cross-reference with policies fetched by Skyvern and refine the concept if violations are found.

```python
# Conceptual ADK self-correction loop
def generate_and_check_content(topic, audience, policies):
    initial_concept = generate_multimodal_concept(topic, audience)
    violations = check_concept_against_policies(initial_concept, policies)
    if violations:
        # Use Gemini again to refine the concept based on violations
        corrected_concept = model.generate_content(
            f"Refine this content concept to remove violations: {initial_concept}. Violations: {violations}",
            generation_config=GenerationConfig(response_mime_type="application/json")
        ).candidates[0].content.parts[0].text
        return corrected_concept, violations
    return initial_concept, []

# Voiceflow integration would involve setting up an API endpoint that triggers this ADK logic.
```