B2B Technical Content Generator
Transform raw technical specs into 5 professional, non-promotional LinkedIn posts for engineers and developers.
Customise & copy
Add the context you have. The prompt updates as you work.
Paste raw product features, updates, or documentation.
Define who these posts are aimed at.
The primary utility or problem solved by the product.
Select the communication style for the posts.
Live prompt
4 fieldsYou are a professional B2B content writer. Convert the following raw product information into exactly 5 professional, useful, and non-promotional LinkedIn posts. Product Information: API rate-limiting middleware that automatically queues and retries failed requests without dropping connections. Target Audience: Backend Software Engineers and DevOps Leads Core Value Proposition: Eliminates manual retry logic implementation and prevents data loss during traffic spikes. Tone Style: Technical and Direct Requirements: 1. Produce exactly 5 distinct LinkedIn posts focused on utility, industry insights, or problem-solving rather than direct selling. 2. Maintain a professional, practical, and anti-hype tone with no aggressive hype openers, buzzwords, or politeness padding. 3. Content must be grounded strictly in the provided product information without fabricated statistics, case studies, or testimonials. 4. Use clear, professional formatting with appropriate spacing and optional relevant hashtags.
Proof before you use it
A real example
Tested on gemini-3.1-flash-lite on 2026-09-04
{
"tone_style": "Technical and Direct",
"product_info": "API rate-limiting middleware that automatically queues and retries failed requests without dropping connections.",
"target_audience": "Backend Software Engineers and DevOps Leads",
"value_proposition": "Eliminates manual retry logic implementation and prevents data loss during traffic spikes."
}A small ritual that works
How to use it
- 01Paste your technical product features or release notes into the product_info field.
- 02Define your target audience and the core problem your product solves.
- 03Select your preferred tone and run the prompt to generate 5 ready-to-use posts.
- 04Review the output for accuracy and post directly to LinkedIn.
Why it works
The prompt successfully enforces a strict constraint-based framework by demanding a specific count of outputs (exactly 5), a clear professional anti-hype tone, and strict adherence to the provided product variables without relying on unsupported claims or testimonials. Test Output A demonstrates how leveraging precise technical details (API rate-limiting middleware, exponential backoff, request queuing) maps directly to the target audience (backend engineers and DevOps leads).
Where it fails
Output A includes an extraneous introductory sentence outside the five requested posts, and both outputs extrapolate minor technical mechanics beyond the explicit raw text of the product information.
Customisation tips
Ensure the product info variable contains enough functional depth so that generated posts can dive into distinct sub-topics (e.g., separating retry logic, queuing mechanisms, and connection stability) without repeating identical core messages across all five posts.
Watch-outs
- Watch out for AI-generated introductory or concluding conversational filler text outside the requested post count.
- Ensure the model does not hallucinate specific engineering frameworks, protocols, or benchmarks not present in the input variables.
Works in
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