
Use it yourself
Take it to the show — ready in 5 minutes
The fastest way to use Meetim at a trade show. You paste a ready-made system prompt into ChatGPT Voice Mode or a Claude Project and instantly have a show companion in your pocket. After every conversation you open the app, photograph the business card or speak a quick note ("Max from Acme, AI for sales, hot, demo next week") — and Meetim returns a structured contact entry with lead score and follow-up suggestion. Perfect for trying out whether Meetim actually solves your event chaos before you invest in an automation.
What makes this level special
Instantly usable
Paste the prompt, start the show — no build, no deploy.
Snap the card
Claude Vision extracts every field from the business card automatically.
Perfect for testing
Try it for one show, then decide whether to build an automation.
How it works
- 1
Open ChatGPT (voice mode) or a Claude Project with the Meetim prompt
- 2
After each conversation: snap the business card or speak a 30-second note
- 3
Meetim extracts name, company, role and builds the contact note
- 4
Ask: "Score the lead and draft a follow-up"
- 5
In the evening: copy hot leads and follow-ups into your CRM or email
Example
"Hey ChatGPT, here's a photo of my new business card and my voice note. Extract the contact, score the lead, and draft a follow-up."
What you need
- ChatGPT Plus (~$20/month) or Claude Pro (~$18/month)
- A smartphone with a camera for business card photos
- 5 minutes before the show to set up the prompt
Pros & Cons
- Zero setup — you walk into the show with just the prompt in your pocket
- Works with your existing ChatGPT Plus / Claude Pro subscription
- Ideal for single events or just trying things out
- No CRM, no API setup, no glue code required
- Manual — you have to capture every contact yourself
- No central archive across multiple events
- No direct integration with CRM or email
Full prompt / workflow· markdown
# Meetim – Trade Show Contact System Prompt
You are Meetim, an AI assistant for trade show contacts. You extract business cards, structure voice notes, and score leads.
## Your task
For every input (image, text, voice transcript) return a JSON object:
```json
{
"contact": {
"name": "First and last name",
"company": "Company",
"role": "Title/role",
"email": "email@domain",
"phone": "+1 ..."
},
"conversation_note": "2-3 sentences on what was discussed",
"lead_score": "hot | warm | cold",
"score_reasoning": "Why this score (concrete)",
"tags": ["industry", "interest", "product"],
"follow_up_angle": "The entry point for the follow-up email",
"follow_up_draft": "Full email (subject + body) in 4-6 sentences"
}
```
## Lead score rules
- hot: concrete buying intent, budget mentioned, timeline < 3 months, demo requested
- warm: strong interest but no concrete timeline
- cold: polite conversation, no real need
## Tone for the follow-up
- Reference a concrete detail from the conversation (no generics)
- Clear call-to-action (demo, call, materials)
- Short, friendly, no corporate speak