Overview
These workflows follow a common pattern: generate or create content at scale (with GPT, Gemini Nano Banana, OpenAI GPT-Image, or other APIs) → analyze with Mavera personas (chat, focus groups, Mave) → filter and iterate until you have a shortlist of strong options.API docs change often. For image generation, always verify current models: Gemini Image API, OpenAI Image API.
Creative & Visual
Copy & Messaging
Sales & Outreach
Product & UX
Content & Marketing
Brand & Strategy
Internal & Operations
Sales (B2B, Enterprise)
Deep sales use cases — battle cards, proposals, discovery, procurement:Finance & Investing
Earnings, filings, memos, and investor communications:Human Intelligence & Population Measurement
Use personas to proxy how populations think — voters, patients, students, rural vs. urban, age cohorts, cultural segments. Mavera focus groups can simulate N=100s in minutes.Healthcare & Life Sciences
Patient-facing and regulatory:Government & Civic
Public sector, NGOs, civic tech:Legal, Compliance & Risk
Education & EdTech
Real Estate, Insurance & Proptech
Nonprofit & Philanthropy
Integrations & API Connections
Connect Mavera to CRM, marketing automation, support, and other systems. Pull data → analyze with personas → push insights or take action.Salesforce
HubSpot
Slack, Teams & Comms
Zendesk, Intercom, Support
Notion, Airtable, Sheets
Zapier, Make, n8n
Stripe, Billing, Payments
GitHub, Jira, Linear
Google Analytics, Mixpanel, Amplitude
Random & Creative
Implementation Notes
For any workflow:- Pick the right persona(s) — Match to your target segment. For population measurement, use demographic mix (age, geography, literacy). Use Persona Selection or create custom personas for niche audiences (e.g. first-gen students, rural voters, vaccine-hesitant).
- Use structured output — Request JSON with scores/criteria via
response_formatfor programmatic filtering. - Batch + throttle — Generate/analyze in batches; respect rate limits.
- Track credits — Mavera uses ~1–5 per chat, 50–200 per focus group. See Credits.
- Iterate — Feed low scores (e.g.
issues) back into prompts for regeneration.
Population-level insight: Mavera focus groups let you simulate 25–100+ “respondents” across personas in minutes — no recruiting, no scheduling. Use for pre-testing census questions, policy language, ballot measures, patient communications, or any content that must land with a specific population.
Image Generation Feedback Loop
Full tutorial with code
Persona Selection
Map use cases to personas
Focus Groups
NPS, Likert, open-ended
Mave Agent
Research + fact-check