Tweet what you love about ChatGPT Work
Built an entire A-share post-market volume-price stock-screening system from scratch with ChatGPT Work—zero boilerplate code on my end.
Handed it a dev spec (PDF trading theory + engineering constraints + data source list), and it autonomously broke the work into nine phases: data adapter layer, normalization with quality gating, six-group market-regime engine, sector state machine, five-step individual-stock trading program, risk & exit engine, backtesting & calibration, single-file HTML frontend, and API with scheduled jobs.
Three things I love about ChatGPT Work in practice:
Give it a goal, not steps. It decomposes tasks, takes action across files, and produces finished work—only interrupting me when it genuinely needs confirmation.
Isolated project memory. Each project's context, constraints, and history stay sealed. Rule versions and evidence chains anchor to their own workspace—no cross-contamination.
Deliverable-oriented. It doesn't just answer and leave. It actually ships code, docs, and web apps you can hand off.