HJ / WORKSPACE
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YOUR EVERYDAY GUIDE

You tell me the job.
I find the right instructions.

Name the client, say what you want made, and tell me what is different this time. You do not need to remember folders or special commands.

For example, just say:
“Write one 40-second podcast ad for this client. Use the saved research and current rules. Give me the script and a short brief.”
01

Understand your request

Identify the client, the result, and the format. Ask about an important missing detail only if it is not already saved.

02

Choose the right task

Use the saved steps for this kind of job. Writing a script, making a video, and doing research have different starting points.

03

Read this client's files

Load their product details, research, restrictions, and relevant feedback. Keep one client's rules with that client.

04

Use the right lessons

Read the short method for this task. Open the original video or source passage when a detail needs checking.

05

Make the requested work

Use the agreed structure and this client's evidence. Produce the amount and format you asked for.

06

Check and show you

Check the actual result, save it in the usual place, and give you the link or file. Save lasting corrections for the next task.

Read left to right, then continue on the second row. Feedback returns to the client files before the next task.

What happens when…

Choose a situation to see what you say and what I do.

You say

I will

    One home for each kind of information.

    You can give me a file or link and ask me to save it. These are the places I will use.

    Client facts and source links

    What they sell, who they serve, and where their detailed instructions live.

    clients/{client}/PROFILE.yaml

    Client feedback

    What should change next time, which tasks it applies to, and how to check it.

    clients/{client}/FEEDBACK.yaml

    Customer evidence

    This client's reviews, interviews, customer language and research findings.

    clients/{client}/ads/research/

    Shared learning

    Original sources stay in research. Short, reviewed methods live in the shared guides.

    research/learnings/ → skills/knowledge/

    Steps for each task

    A task list points to the right workflow, client inputs, output format and checks.

    directives/core/workflows.yaml → skills/agent/

    Work in progress

    A short note records decisions, saved work and the next step so we can resume.

    workspace/tasks/{run}/STATE.md

    Unsure where a file goes? Say “save this for this client” or “save this as shared learning.” If you prefer to drop files yourself, use research/inbox/ or a client's inbox/. I will file them and tell you where they went.

    What I need from you.

    For a new client: their product, audience, offer, brand files, restrictions and useful past work. Share what you have; I will identify what is missing for the job.

    For each task: the result, quantity, format, and anything different this time. You do not need to repeat information that is already saved.

    What you can expect.

    The same starting files, a clear method, the required output format, and checks before delivery. Feedback is saved with the right client and task.

    Creative wording can vary. The system helps catch mistakes and prevent repeats; it cannot promise perfect judgment or results every time.

    The routing and checking system is installed

    Built from research, checked against real files.

    20 videos downloaded, 20 timestamped transcripts saved, and screen samples inspected from every video. The practical ideas were compared with current official documentation and the existing workspace.

    Review covered full transcripts or relevant sections and sampled screens, rather than continuous viewing of all footage. Some linked templates were unavailable without signup or purchase.

    Rollout status: 18 task routes are installed. 86 client folders have readable profiles and a place for feedback. Two client source maps have been reviewed in detail. The remaining maps are marked for review; missing client facts are left unknown. This is not a claim that every historical file or client deliverable has been checked.

    See the 20 research videos

      Technical reference: OpenAI's project instructions, OpenAI's skills documentation, and T3's source. The detailed internal evidence report is saved in the workspace.