Prompt Engineering 101 for Project-Aware AIs

Prompt Engineering 101 for Project-Aware AIs
9 min read

OrionAI is a powerful AI assistant platform designed for developers and teams. It provides a natural language interface to your projects, integrating code, documentation, and chat in one place. What sets OrionAI apart is its project-based memory: each project has its own set of chats, files, and custom instructions that the AI remembers and uses in all future conversations. In other words, OrionAI “remembers everything you give it, per project”. This persistent context means you don’t have to re-explain your goals or re-upload documents every time, OrionAI builds on your history to deliver smarter, context-aware responses.

Understanding Project-Aware AIs

Project-aware AI refers to AI assistants that maintain context, memory, and instructions over the entire scope of a project or domain, instead of treating each query as isolated. This means the AI remembers past chats, uploaded files, and any special instructions you set, so it can provide more consistent and accurate responses. For example, OrionAI was built “to remember everything you give it, per project, and actually understand your uploaded files”. This persistent memory allows OrionAI to follow your project’s context automatically. Over time, OrionAI becomes more than a one-off chatbot, it becomes an AI teammate that learns from your inputs.

Even developer tools are embracing this idea. JetBrains’ WebStorm, for instance, now includes “project-aware AI actions” that use custom prompts based on the language and technologies in your code. In OrionAI, we take this a step further. Each project can have its own files and instructions, so the AI is truly aware of the code and documentation you’re working with. As OrionAI’s summary notes, you can chat across multiple projects “with each one having its own files, custom instructions, and memory”. In short, project-aware AI means the assistant is synced with your project’s context and history, making every prompt more powerful.

OrionAI and Custom Instructions

Custom instructions are a way to set the AI’s behavior once and for all. OrionAI lets you define project-specific instructions that the assistant will always follow in that project. This is similar to ChatGPT’s feature where you can add preferences or requirements that the AI will consider for every response. For instance, you might instruct the AI to prioritize your code’s style, use a friendly tone, or always consider the project’s documentation. Once set, these custom instructions are automatically included in all prompts, so you don’t need to repeat them each time.

According to OpenAI, custom instructions allow you to “tailor ChatGPT to better meet your needs” by telling it about your preferences. In OrionAI, this means your project can have a built-in personality. For example, if you’re a developer who prefers efficient code in a language other than Python, you can set that as an instruction, and the AI will remember it. Similarly, a teacher setting up a tutoring project could instruct the AI to use simpler explanations for a certain grade level. These instructions persist, so the AI’s behavior stays consistent. This makes OrionAI a smarter AI assistant development tool: you’re effectively doing prompt tuning by setting project-level guidelines that the AI will honor.

Use Cases: Custom Instructions in Action

Project-aware AI with custom instructions shines in many real-world scenarios. Here are some examples:

  • Enterprise Knowledge Retrieval: In a corporate setting, you can upload internal documents, policies, or manuals to OrionAI. By instructing the AI to consider these files, the assistant can answer employee queries using up-to-date company knowledge. Custom instructions like “When answering, reference our internal guidelines,” help ensure accurate, compliant responses. This turns OrionAI into an enterprise AI tool that retrieves and summarizes information from your own knowledge base.
  • Technical Documentation Q&A: Developers often need quick answers from project documentation. OrionAI can load and index API docs or design specs within a project. With a custom instruction like “Use the project documentation to answer questions first,” the AI will reference those materials for your queries. This is like having a smart documentation bot: when you ask a technical question, the assistant pulls relevant information from your docs automatically.
  • Code Generation and Review: OrionAI can assist developers by generating or explaining code. You might instruct it to “Write code in JavaScript for web use” or “Follow our code style guidelines,” and it will apply these rules. When you ask it to implement a feature or fix a bug, OrionAI will use the project’s code context and your preferences to produce more relevant snippets. (See the example below.)

The screenshot above shows an AI assistant generating a quicksort function in TypeScript. OrionAI offers similar code generation capabilities: by setting your project’s language and style preferences, the AI writes code that's context-aware. For example, you can instruct OrionAI to use async/await syntax or include comments in a specific style, and it will attempt to follow those guidelines. These capabilities make OrionAI a powerful developer tool for coding assistance and learning best practices.

  • Customer Support Assistants: For customer service bots, custom instructions can encode brand tone and policies. For example, you could instruct OrionAI to “always be polite and follow company guidelines,” or include key product details it should reference. The AI will then apply these rules to all customer queries. This helps create a consistent, on-brand support experience, even in complex or regulated domains.
  • Content Creation and Marketing: In content creation, custom instructions can set the desired style, length, or keywords. For instance, tell OrionAI “Write as an expert with a friendly tone and include these SEO keywords,” and it will try to follow those guidelines. Marketers and writers can thus use OrionAI as a creative assistant, generating blog posts, ad copy, or product descriptions tailored to their brand voice and goals.

Tips for Writing Effective Prompts in OrionAI

  • Be specific and concise. Clearly state what you want and provide relevant details. Instead of a vague request, include goals, constraints, or examples. For instance, say “Generate a summary of the meeting notes focusing on action items,” rather than just “Summarize these notes.”
  • Leverage project context. When working in OrionAI, mention references to the current project or attached files. Since OrionAI has project memory, you only need to provide context once via your custom instructions or the initial prompt. Then all subsequent prompts will benefit from that established context.
  • Iterate and refine. Try different phrasings, add examples, or break a complex task into steps. For complex queries, consider asking the AI to explain its reasoning or to solve the problem step-by-step. If the response isn’t right, tweak the prompt or instruction and try again.
  • Use custom instructions wisely. Put general preferences (tone, format, domain expertise) into OrionAI’s custom instruction field, and leave the chat prompt for specific tasks. This helps keep your messages focused while still informing the AI of your overarching needs. For example, set an instruction like “Act as a senior developer who writes concise, well-documented code.”
  • Test with real data. When possible, test prompts on actual project files. OrionAI allows you to upload or sync files, so use them to check how the AI handles your real documents or code. This feedback loop helps you fine-tune both prompts and custom instructions for the best results.

OrionAI’s custom instructions and project-based approach make it a powerful platform for AI assistant development. By mastering prompt engineering and using OrionAI’s tools – project memory, file uploads, and custom instructions - you can build smarter, more context-aware AI assistants for any domain. Whether you’re building an enterprise AI chatbot, a coding helper, or a content creation assistant, OrionAI provides the developer tools you need. Ready to elevate your AI development? OrionAI offers a free GPT-4.1 powered assistant and an intuitive natural language interface for your projects. Sign up at orionai.asia and create a project today. Upload your files, set your first custom instruction, and watch the AI adapt to your needs. Join the OrionAI community and see what smarter prompt engineering can do for your projects.

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