A CLI tool that takes any B2B technology concept and rewrites it for 12 different enterprise audiences using Claude AI.
Built for developer marketing and product teams who need to communicate the same idea differently depending on who is in the room.
- Developer advocates explaining technical concepts to business stakeholders
- Product marketers creating assets for multiple buyer personas
- Sales engineers preparing for multi-stakeholder meetings
- Anyone at the intersection of technical and business communication
| Audience | Focus |
|---|---|
engineer |
Hands-on, technical, code examples |
solution_architect |
System design, integration patterns |
platform_engineer |
Internal platforms, developer experience |
ai_engineer |
LLM integration, model governance, MCP |
product_manager |
Roadmap impact, competitive differentiation |
cto |
Technology strategy, build vs buy |
cio |
IT transformation, vendor consolidation |
ciso |
Security posture, audit trails, zero trust |
risk_officer |
Regulatory compliance, policy enforcement |
compliance_officer |
Regulatory evidence, US regulations first |
ceo |
Business outcomes, competitive advantage |
procurement |
TCO, vendor risk, lock-in avoidance |
# Clone the repo
git clone https://github.com/hellobudha/audience-translator.git
cd audience-translator
# Create and activate virtual environment
python3.12 -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
# Set your Anthropic API key
export ANTHROPIC_API_KEY="your-key-here"python audience_translator.pyYou will be prompted for:
- A concept to translate
- A target audience (or
allfor all 12)
Output is printed to the terminal and saved as a markdown file in outputs/.
Input:
Concept: Model Context Protocol
Audience: cto
Output: A strategic framing of MCP for a CTO — covering architectural benefits, provider flexibility, governance implications, and the build vs. buy consideration. Saved to outputs/model_context_protocol_cto.md.
- Claude API by Anthropic
- Python 3.12
Built by Budha as part of a learning journey at the intersection of AI and API management.
Part of a larger project: an AI-powered operating system for enterprise product marketing.