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ConceptAI workflow experimentation and backend architecture planning

Multimodal Observation Pipeline

An AI workflow experiment for thinking through how text, images and observations could be structured into reviewable data.

Project snapshot

Status

Concept

Role

AI workflow experimentation and backend architecture planning

Main focus

The pipeline frames multimodal inputs as a repeatable workflow: capture, extract, normalize, review and store useful signals.

Stack

PythonFastAPIAI workflowsDocker

Problem

Raw observations from different formats can be hard to compare, search and act on when they are not converted into a shared structure.

Solution

The pipeline frames multimodal inputs as a repeatable workflow: capture, extract, normalize, review and store useful signals.

Technology

PythonFastAPIAI workflowsDocker