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RIP traditional prompt engineering platforms. Meet Adaline Ai the single platform where you can write, test, and ship the best prompts for your AI Agents, MCP, RAG, and LLM apps. One platform. Zero hassle. Step-by-step tutorial :
43,009 Aufrufe • vor 1 Jahr •via X (Twitter)
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With you can: - Test multiple models first: Try OpenAI o3, Claude Sonnet 4, and others to find what works best for your use case. - Evaluate on real data: Run prompts on thousands of actual user inputs before shipping. - Use proper scoring: LLM-as-a-judge helps you see if responses match what you want. - Deploy with confidence: Easy deployment into your preferred LLM app. - Monitor continuously: Track performance over time and catch problems early. Adaline is giving $1M in API credits to the first 100 team workspaces this week -

[1] Use any model, 300+ supported OpenAI Anthropic Google OpenRouter Together AI Groq Bedrock Custom Providers

[2] Write dynamic prompts Create a prompt template in the Editor. Make the prompt dynamic by using variables and editing them in the variable editor. Configure the LLM and run the prompt in the playground to see the LLM's response.

[3] Evaluate the prompts Create a dataset first with column names that exactly match the variable names. Subsequently, add rows with different user input. Select an evaluation method, connect the evaluation dataset, define your criteria, and run your evaluation. Analyze the results to determine the number of LLM responses that passed and failed. Iterate and refine your prompt, then re-evaluate it.

[4] Deploy your prompts Once satisfied, deploy your prompt in your existing LLM, RAG, MCP, or AI Agent workflow or app. Integrate the API to get the latest version of your prompt with just one line of code.

[5] Monitor your AI apps Use the real-time observability feature to monitor all prompts in real-time. See full traces and spans to understand how users are using your product. Run real-time evaluations and set up custom alerts.

Try out Adaline - the end-to-end platform that world-class teams use to build AI applications. Adaline is also giving $1M in API credits to the first 100 team workspaces this week.

This is an all in one tool

finally.. one place to build, test, and deploy prompts properly

Really impressive

