Useful work to hand to AI
- Documentation search
- Configuration help
- Software changes
- Troubleshooting

A 3D-printable microscope platform with precise flexure-based sample positioning and multiple optical configurations.
It provides a serious open instrument platform rather than a classroom toy, with the option to change mechanics, optics and automation.
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.
I want to build OpenFlexure Microscope. Source project: https://gitlab.com/openflexure/openflexure-microscope/ Use the source as the authority. Do not invent parts, dimensions, prices or capabilities that are not published. AI can help with: Documentation search, Configuration help, Software changes, Troubleshooting. AI cannot physically do: Print the precision mechanical parts, Fit and align the optics, Assemble the flexure stage without introducing mechanical errors, Focus and calibrate the real microscope, Verify image quality and positioning repeatability for the intended use. Tools and capabilities involved: 3D printer, Optics. CAIBI's main concern: Optics, calibration and precise assembly matter more than simply getting the printed parts to fit together. 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.
Decide whether you need the standard high-resolution motorised microscope, a manual build or another supported configuration before sourcing parts.
The OpenFlexure project recommends v7 unless you have a specific reason to use v6. Use the matching bill of materials, STLs and instructions for the selected release.
Test the printer, then produce the body, stage and other printed parts. Mechanical accuracy affects the precision the flexure stage can deliver.
Build the actuators, optics module, illumination and sample handling in the documented sequence. This is precision assembly rather than simple enclosure fitting.
Motorised versions add motor assembly, wiring and software setup. AI can help navigate configuration and software, but cannot compensate for poor mechanical or optical alignment.
Bring up the imaging and control software, verify motion and focus, then validate image quality and repeatability for the intended use.
Use the published source, files and instructions as the baseline.
↗AI ASSISTEDUse the CAIBI build packStart from the source with prompts that keep the AI inside the verified build information.
→OUTSOURCE PARTGet fabrication done for youYou do not necessarily need to own every capability. This build uses 3D printer, Optics.
→ALTERNATIVE PROJECTImageGenCamA buildable Raspberry Pi camera designed around a Codex-assisted hardware and software workflow.
→When people submit completed builds, this section can link to their build notes, repo, printable files, shop or finished version. CAIBI does not take payment or insert itself into the sale.
Official build documentation available, with v7 recommended in beta
It provides a serious open instrument platform rather than a classroom toy, with the option to change mechanics, optics and automation.
Actual time, cost, changes and outcomes from reviewed builds will appear here.
Add your build report ↓Your result can improve the assessment and, if you choose, link people to your public build or listing.