01OPEN FILE
Trading systems
Study how rules, constraints and signal frameworks behave in different conditions, and document where a model breaks before calling it useful.
RESEARCH INITIATIVE
Failure Lab
Useful findings survive the experiment.
Failure Lab is a research initiative built by PROMPOSSUM to examine how trading systems, market intelligence, research workflows and careful automation behave under real constraints. It also studies AI-assisted website failures: broken links, layout regressions, misleading generated copy and workflows that complete an instruction without achieving the human goal. Each experiment starts with a question, records its assumptions and separates observation from interpretation. Public notes share findings that can be explained and checked; proprietary methods, sensitive implementation details and unfinished work stay private.
Robinhood Chain is the first public research focus for Failure Lab. The Lab studies public context, liquidity, volume, operational failure modes, AI-created website bugs and repeatable process design. Research into other networks may follow later, but no expansion or result is promised.
RESEARCH IN PROGRESS
LAB NOTEBOOK
Four areas under review.
Public research into trading systems, market context and careful automation.
02OPEN FILE
Market intelligence
Bring public context, liquidity, volume and uncertainty into one readable record so a decision can be traced back to its inputs.
03OPEN FILE
Research workflows
Design repeatable ways to collect, compare and revisit evidence, with timestamps, assumptions and a clear line between fact and interpretation.
04OPEN FILE
Careful automation
Test small, bounded workflows with explicit stop conditions, human review and a record of what the system actually did, including where AI changes miss the human intent.
AI FAILURE SIGNALS
When the instruction succeeds and the outcome still fails.
Failure Lab looks for the gap between an instruction and its outcome. A report may cover a broken route, a visual regression, incorrect generated copy, a state mismatch or another reproducible AI-assisted website failure. Safe evidence should show the steps, the expected result and what actually happened.
METHOD // RESEARCH STANDARD
A slower way to reach a useful answer.
The Lab treats process as evidence. Clear boundaries make the interesting parts easier to trust, challenge and revisit.
01 · LAB STANDARD
Start with a question
A useful lab note begins with a defined question and a boundary around what the experiment is allowed to claim.
02 · LAB STANDARD
Keep the record
Inputs, assumptions, changes and failures remain traceable so another reader can understand how a finding was reached.
03 · LAB STANDARD
Publish with restraint
A result becomes public only when it can be explained clearly. A useful failure is still a result; an unfinished method stays classified.
PUBLIC NOTES
Publish the useful finding.
Public notes record observations, assumptions and what changed between experiments. Proprietary methods and unfinished work remain private.