CAIBI ASSESSMENT

Clawd Mochi

A small ESP32-C3 desk companion with animated faces, web controls and a published low-cost parts list.

CAIBI VERDICTBUILD IT

Cheap, compact and easy to modify. It is a good example of AI-assisted embedded work becoming approachable without turning into a large electronics project.

AI CAN HELP

Useful work to hand to AI

  • Firmware changes
  • UI changes
  • Debugging
AI CAN'T DO

The physical boundary

  • Print and finish the enclosure
  • Wire the display to the ESP32-C3 correctly
  • Route and secure the electronics inside the case
  • Judge whether the finished object looks and feels tidy enough to keep on a desk
BUILD WITH AI

Start with the project, not a blank prompt.

The CAIBI build pack gives an AI assistant the source, the known constraints, the useful AI work and the physical boundary. It is designed to help you move faster without pretending the AI has built the thing for you.

Preview the full build brief
I want to build Clawd Mochi.

Source project: https://github.com/yousifamanuel/clawd-mochi

Use the source as the authority. Do not invent parts, dimensions, prices or capabilities that are not published.

AI can help with: Firmware changes, UI changes, Debugging.
AI cannot physically do: Print and finish the enclosure, Wire the display to the ESP32-C3 correctly, Route and secure the electronics inside the case, Judge whether the finished object looks and feels tidy enough to keep on a desk.
Tools and capabilities involved: 3D printer, ESP32.
CAIBI's main concern: The concept is simple enough that finish quality matters. A rough print and untidy wiring quickly make it feel like a prototype.

Start by checking the source, confirming the current parts and build instructions, then give me a staged plan. Clearly separate source facts from your suggestions. Stop and ask me to verify anything that depends on physical fit, wiring, calibration or safety.
THE BUILD

How it actually comes together

Check the source ↗
01
YOU

Print and test-fit the case

Print the published case, then test-fit the display before fixing or soldering anything. The creator recommends 0.15 to 0.20mm layers, 15% gyroid and supports for the display overhang.

02
YOU

Wire the display

Connect the ST7789 display to the ESP32-C3 using the published GPIO mapping. The source explicitly requires 3.3V for VCC.

03
AI + YOU

Set up Arduino

Install ESP32 board support and the Adafruit graphics libraries, then apply the board settings published by the project.

04
AI + YOU

Flash the firmware

Upload the supplied sketch over USB-C. AI can help diagnose board, library or compile issues, but the source firmware already provides the baseline.

05
YOU

Assemble the enclosure

Route the wires, secure the display, fix the ESP32 to the back plate and close the case around the USB-C connection.

06
AI + YOU

Connect and customise

Join the device Wi-Fi hotspot, open its browser controller, then change animations, views, colours or code once the base build works.

WHAT YOU NEED

Key components

  • ESP32-C3 Super Mini
  • 1.54 inch ST7789 240 × 240 TFT display
  • 8 short jumper wires
  • 2 × M2 × 6mm screws
  • Double-sided tape
  • USB-C cable
  • 3D printed PLA or PETG case, about 30g
AFTER THE FIRST BUILD

Ways to take it further

New expressions and animationsWeather or clock viewsBuzzerTouch or other sensorsMQTT or Home Assistant integrationOTA updates
OTHER WAYS TO GET THERE

You do not have to follow one route.

REVIEWED RESOURCES

Useful places beyond the main source

MADE BY PEOPLE

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SOURCE · CAIBI · BUILDERS

What supports the verdict

SOURCEYousif Amanuel

Source available with detailed beginner build instructions

  • The creator states a total parts cost of about $7 to $8, a build time of about one hour and beginner skill level.
  • The device hosts its own Wi-Fi controller and does not require an app, cloud service or internet connection for normal control.
  • The source publishes the parts list, GPIO wiring table, Arduino setup, print settings and assembly tips.
  • The project is an independent fan project and is not affiliated with Anthropic.
Open source ↗
CAIBIBUILD IT

Cheap, compact and easy to modify. It is a good example of AI-assisted embedded work becoming approachable without turning into a large electronics project.

Evidence
Strong
Biggest challenge
The concept is simple enough that finish quality matters. A rough print and untidy wiring quickly make it feel like a prototype.
BUILDERSNo published reports yet

Actual time, cost, changes and outcomes from reviewed builds will appear here.

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BUILT IT?

Tell us what actually happened.

Your result can improve the assessment and, if you choose, link people to your public build or listing.

  • What worked and what changed
  • Actual time and cost
  • Public build or repo link
  • Optional maker or sales listing