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Look up any email's public social profile (from LinkedIn, Facebook, the web, etc) and then use the profile's name, employment history, city, etc in your GPT4-powered AI mail merge to create personalized emails that get through spam filters.
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1y ago
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Give us an email address and we'll try to get determine the profile data associated with it
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GPT-4.1 (openai)
GPT-4.1 Mini (openai)
GPT-4.1 Nano (openai)
GPT-4.5 (openai)
o4-mini (openai)
o3 (openai)
o3-mini (openai)
o1 (openai)
o1-mini (openai)
GPT-4o (openai)
GPT-4o-mini (openai)
GPT-4o Audio (openai)
GPT-4o-mini Audio (openai)
DeepSeek R1
Llama 4 Maverick Instruct
Llama 4 Scout Instruct
Llama 3.3 70B
Pixtral Large 24/11
Mistral Large 24/11
Mistral Small 25/01
Gemma 2 9B (Google)
Gemini 2.5 Pro (Google)
Gemini 2.5 Flash (Google)
Gemini 2 Flash Lite (Google)
Gemini 2 Flash (Google)
Claude 4 Sonnet (Anthropic)
Claude 4 Opus (Anthropic)
Claude 3.7 Sonnet (Anthropic)
Llama3 8B CPT SEA-LIONv2.1 Instruct (aisingapore)
Sarvam M (sarvam.ai)
Avoid Repetition
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JSON Object
The maximum number of tokens to generate in the completion. Increase to generate longer responses.
Higher values allow the LLM to take more risks. Try values larger than 1 for more creative applications or 0 to ensure that LLM gives the same answer when given the same user input.
How many answers should the copilot generate? Additional answer outputs increase the cost of each run.
Run cost = 5 credits
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