PERSONAL TOOLS & EXPERIMENTS

Inside
the lab.

Small experiments, visible checks, and useful lessons for the next attempt.

I’m building ways to prepare better tasks, keep track of sources, and check AI-generated work. Some pieces are in use, others are bounded tests, and the connected workflow is still being developed.

My actual home lab: two repurposed computers on a wooden shelf, with a modem, router, and power connections.
MY HOME LAB · PERSONAL PHOTO

RECORDED CHECKPOINTS

What works so far.

These summaries link to dated records.
They are not a live status display.

Pilot in use · Upgrade not installed

See what needs attention.

The dashboard and ORSON’s manual pilot are in use. The separate web-panel upgrade passed 145 checks and a no-write dry run; installation and device checks remain ahead.

Inside the ORSON build
Bounded local AI experiments

Keep the mistakes in the results.

A later Goose/Hermes comparison completed 32 local-model responses. Both produced caption mistakes; exact-answer checks caught failures that valid formatting would miss. One earlier synthetic-note read was separately approved and checked.

Read the tests and their limits
Manual use · Integration in development

Prepare tasks. Keep the sources.

Prompt OS helps shape tasks and research briefs. Research OS brings sources and reviewed notes into the work. A recorded handoff stopped at a required status check; a later automated replay found seven filename mismatches.

Read the research incident
AEOS · Development & testing

The worker proposes code.

Separate checks decide whether a candidate can reach review. In the scripted September test, two successful attempts reached review and all seven intended negative attempts were kept from acceptance.

Read the scripted test
Muse, a cream-coloured workshop companion in a navy bucket hat and jacket with glowing turquoise trim.

A SEPARATE, READ-ONLY CONNECTION

A small window for Muse.

Two approved context documents Muse. Persistent context was read back successfully. A later daily-update candidate remained unpublished, with the publisher prerequisite check still held in the latest consulted tracker.

This connection does not give Muse general file access or a way to write back into reviewed memory.

Read the Muse connection note

HOW THE PIECES FIT TOGETHER

A task, with room to say no.

This is the intended process. The complete connected flow is not installed. Manual steps, tested components, and planned work are labelled below.

Intended workflowArrows show the intended order. They do not claim automatic handoffs.
  1. 01 / MY DECISION

    I choose the task

    Decide what is worth doing, what is in scope, and what a useful result should look like.

  2. 02 / PREPARE

    Define the task and its checks

    Prompt OS · Manual use; connected handoff in development

    Prepare the instructions, relevant context, requirements, and evidence needed to judge the result.

  3. 03 / CHOOSE A PATH AS NEEDED
    In testing

    Engineering

    AEOS

    AI workers propose a code candidate. Separate tooling checks the tested requirements.

    Manual use · Integration in development

    Research

    Research OS

    Check reviewed memory first. Reuse suitable work, refresh it, or research the gaps, keeping the sources.

    Planned

    Media

    Media OS

    Prepare storyboards, scene prompts, and references for appropriate generation tools.

  4. 04 / CHECK THE DRAFT

    Check the result and its evidence

    Use the task’s agreed checks. Code or format checks can be scripted; source quality, meaning, and creative judgement still need review. A passed check covers what that check actually tests.

    ↶ Failed or incomplete? Correct the draft or revisit the task.
  5. 05 / MY DECISION

    I review the result

    Passing checks makes a candidate ready for review. I still decide whether it is useful and supported.

    Approve → use or publish

    Only the output I approve moves forward.

    Revise ↶ prepare again

    Change the draft, evidence, or scope.

    Reject → stop

    A result can be set aside.

How to read the labels

Manual use: I carry out or supervise that step. It does not imply an automatic connection.

In testing: the linked checks cover a bounded setup, not general reliability.

Planned: the component or connection is still a design. Media OS is planned even though I already make AI videos with individual tools.

Muse’s scoped connection is shown separately above. A local model is a possible worker inside an approved task; it does not choose its own permissions or approve its output.

THREADS I’M FOLLOWING

On the workbench.

01 /

NOTES, SOURCES & CORRECTIONS

Memory & learning.

Keep useful sources, decisions, and corrections together, so returning to a project doesn’t mean starting from scratch.

Explore the project
In development · Recorded examples
02 /

GIVE AN OLD PHONE WHEELS

A small rolling robot.

I’m planning a cheap wheeled build, potentially reusing my cyberdeck’s Moto G Stylus as its brain. Parts, assembly, and compatibility testing are still ahead. A walking robot is a longer-term goal.

Meet the phone behind the idea
Planned
03 /

AI VIDEO EXPERIMENTS

Generated Elsewhere.

Short AI-generated videos exploring impossible places and strange phenomena.

Generated Elsewhere channel artwork: floating rock islands over dark water, a glowing yellow portal, and the words Generated Elsewhere — Broadcasts from Elsewhere.
Channel artwork · Generated Elsewhere
Watch a Short
Creative exploration
04 /

FIELD JACKET

One jacket, before a sample.

A visual concept for one personal jacket. Fit, construction, and a physical sample remain ahead.

Explore the concept
Concept · No physical sample

Follow the experiments.

The build notes keep the useful results, the failures, and the limits together.

Read the build notes