#How to make Lemonade?

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tawny onyx
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How to Make Lemonade?

drifting moatBOT
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Hi @tawny onyx. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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I’m sorry, but the provided knowledge sources do not contain any information about making lemonade (ingredients, steps, or a recipe), so I can’t give a reliable answer based on them.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@tawny onyx Kapa.ai is still learning and improving, please let me know how I did by reacting below.

tawny onyx
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How can I work for Chatgpt like dev

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Hi

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How can I Work as a dev @drifting moat?

drifting moatBOT
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Let me check the knowledge base for you again. One moment! :books:

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The knowledge sources don’t directly answer “how to work as a dev” in general, but they do give some concrete pointers for getting started as a developer specifically in the OpenAI ecosystem.

Here are a few practical paths, all grounded in those docs:

  1. Learn to use the OpenAI API as a developer

    • Start by creating an OpenAI API key and learning how to call models from code. [Developer quickstart]
    • Store your key in an environment variable (e.g. OPENAI_API_KEY) and use the official SDKs so your apps can call models safely. [Developer quickstart]

  2. Practice building small AI projects end‑to‑end

    The cookbook shows typical project lifecycles: understand the problem, gather example data, build a V0 system, add evals, and iterate. This is exactly the kind of workflow modern AI developers follow. [Project lifecycle]

    Try to:

    • Define a simple problem (e.g., classify text, extract data from receipts).
    • Build a minimal working system with one model call.
    • Add evaluation and improve iteratively.

  3. Focus on AI‑native engineering skills

    OpenAI’s guidance on “AI‑native engineering teams” describes how modern devs work with coding agents instead of doing everything manually. [AI-native team]

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Key habits:

  • Plan clearly: write good specs and break work into tasks; agents can help map specs to code and surface edge cases. [1. Plan]
  • Build with agents: let coding agents draft code, tests, and boilerplate; you review and own architecture and correctness. [3. Build]
  • Use checklists like:
    • Start with well‑specified tasks.
    • Have the agent create a plan (e.g., PLAN.md).
    • Iterate on an AGENTS.md file to define what the agent is allowed to do. [Build checklist]

  1. Level up your coding and prompting

    • For coding with GPT‑5, follow best practices: define the model’s role (e.g., “you are a senior engineer”), enforce testing, and use clear markdown and tool instructions. [GPT‑5 prompting]
    • Study the GPT‑5 coding and frontend guides to see how strong dev prompts are written and how to structure real coding tasks. [GPT‑5 prompting; GPT‑5 coding guide]

  2. Use official learning resources

    The docs list several video courses that are good for aspiring devs working with OpenAI tools, including prompt‑engineering courses and an Assistants API course. [Video courses]

  3. If you want to work at OpenAI someday

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The only explicit hiring info in the sources is that internships and roles are posted on the OpenAI careers page; you should watch that site and official social channels for openings. [Forum internship answer]

If you share your current level (beginner / intermediate / advanced) and whether you’re more interested in web, backend, or AI/ML, I can point you to the most relevant parts of these resources.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@tawny onyx Kapa.ai is still learning and improving, please let me know how I did by reacting below.

tawny onyx
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Where can I apply?

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@drifting moat where can I apply for dev?

drifting moatBOT
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Let me check the knowledge base for you again. One moment! :books:

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You can’t apply to be a “dev” in general through OpenAI, but there are two relevant paths in the provided sources:

  1. To work at OpenAI (including dev/intern roles)
    OpenAI posts internships and other roles on its careers site; that’s where you’d apply when positions are available. [Forum internship answer]

  2. To work as a developer using OpenAI tools

    • Create an OpenAI platform account and API key to start building with the API. [Developer quickstart]
    • If you want to publish apps to the ChatGPT app directory, you must be a verified developer with an OpenAI platform account and then submit apps via the platform dashboard. [Submitting apps; Apps FAQ]

For enterprise/API contracts or large-scale use (not a job, but a business relationship), you can also contact OpenAI Sales via the sales contact form. [Contact sales]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@tawny onyx Kapa.ai is still learning and improving, please let me know how I did by reacting below.

tawny onyx
drifting moatBOT
#

Let me check the knowledge base for you again. One moment! :books:

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You don’t need to already know how to code to start building with OpenAI, but the knowledge sources mainly cover how to get started once you’re ready to try—they don’t provide a full beginner coding curriculum.

Here’s what is covered:

  1. Experiment without coding first (ChatGPT & GPTs)
    You can start by using ChatGPT and custom GPTs to help you learn and prototype ideas without writing code yourself. GPTs can be created “no‑code” and tailored to specific tasks. [OpenAI for nonprofits]

  2. Take beginner‑friendly AI/prompting courses
    Several short video courses teach how to talk to models and use them in projects; these are good stepping stones even before you write code: [Video courses]

    • “ChatGPT Prompt Engineering for Developers” (DeepLearning.AI / Andrew Ng)
    • “Scrimba course about Assistants API” (interactive, beginner‑oriented)
    • Other intro prompt‑engineering courses

  3. When you’re ready to try coding with OpenAI
    The official quickstart shows how to:

    • Create an API key
    • Install an SDK (JavaScript, Python, .NET, Java)
    • Run a very small example that calls a model and prints the result [Install SDK; Developer quickstart]

    For example, in Python (once you’re comfortable installing packages and running a script):

    from openai import OpenAI
client = OpenAI()

response = client.responses.create(
    model="gpt-5.4",
    input="Write a one-sentence bedtime story about a unicorn."
)
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print(response.output_text)

[[Install SDK](<https://developers.openai.com/api/docs/libraries#install-an-official-sdk>)]

4. **Use AI to help you learn coding itself**  
The docs emphasize that large language models (like GPT‑4 and later) are strong at code and can explain, edit, and generate code, which makes them useful as a learning companion while you practice. [[Code capabilities](<https://developers.openai.com/cookbook/articles/how_to_work_with_large_language_models#code-capabilities>)]

Because the sources don’t include a step‑by‑step “learn programming from zero” path, I can’t recommend a full curriculum. I can, however, help you use OpenAI tools (ChatGPT, GPTs, and the API) to support your learning once you pick a beginner resource (e.g., a Python tutorial) and start practicing.
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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@tawny onyx Kapa.ai is still learning and improving, please let me know how I did by reacting below.

tawny onyx
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Good

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@vague wagon

vague wagon
jaunty creek
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@drifting moat is OpenAI Working on Sora 3