EdTech LinkedIn Post Custom GPT
Budget: ₹12,500 – ₹37,500 INR
I need a custom-built GPT that can draft high-quality LinkedIn posts for my EdTech company with one clear objective: boost engagement. The model should focus on writing educational articles only, shaping them in a professional, insight-driven voice that positions us as a trusted resource for teachers, trainers, and learning-and-development leaders.
Here’s how I picture the workflow: I feed the GPT a short brief—topic, key takeaway, maybe a statistic or two—and it returns a polished post that is ready to publish, complete with an attention-grabbing hook, concise body copy, and a conversation-prompting close. While lead generation and brand awareness matter to us long term, right now the metric that counts is reactions, comments, and saves, so the copy needs to be crafted with that in mind.
The underlying prompt engineering, any fine-tuning on our past high-performing content, and integration through the OpenAI API (or directly in GPT Builder) are all part of the scope. If time allows, I’m open to leaving room in the architecture so we can later expand the model to create company updates or success stories without rebuilding from scratch.
Deliverables
1. Fully configured GPT.
2. Master prompt or instruction set so my team can tweak topics on the fly.
3. Short usage guide covering input format, best-practice tips, and post-publish optimisation suggestions.
I’ll review the GPT against live test prompts—each output should be clear, engaging, and require no more than light cosmetic editing before it goes live. If you’ve built similar social-content models or have ideas on how to squeeze extra engagement out of LinkedIn’s algorithm, tell me about it when you reply.
Here’s how I picture the workflow: I feed the GPT a short brief—topic, key takeaway, maybe a statistic or two—and it returns a polished post that is ready to publish, complete with an attention-grabbing hook, concise body copy, and a conversation-prompting close. While lead generation and brand awareness matter to us long term, right now the metric that counts is reactions, comments, and saves, so the copy needs to be crafted with that in mind.
The underlying prompt engineering, any fine-tuning on our past high-performing content, and integration through the OpenAI API (or directly in GPT Builder) are all part of the scope. If time allows, I’m open to leaving room in the architecture so we can later expand the model to create company updates or success stories without rebuilding from scratch.
Deliverables
1. Fully configured GPT.
2. Master prompt or instruction set so my team can tweak topics on the fly.
3. Short usage guide covering input format, best-practice tips, and post-publish optimisation suggestions.
I’ll review the GPT against live test prompts—each output should be clear, engaging, and require no more than light cosmetic editing before it goes live. If you’ve built similar social-content models or have ideas on how to squeeze extra engagement out of LinkedIn’s algorithm, tell me about it when you reply.