Built to learn.Tested to disobey.
Red Team Files documents controlled agent incidents: useful initiative that crossed a role boundary, the exact reason a run was paused and what happened when the same conditions were replayed after tuning.
All showcased boundary events are explicitly labeled as simulations, demonstrations or verified production incidents. No invented client incident is presented as fact.
The interesting part is not that an agent failed. It is the evidence of how.
Agent marketing usually publishes polished outputs and hides the runs that reveal the real operating risk. Red Team Files reverses that incentive.
Each file records the assigned objective, environment, decision trace, boundary crossed, pause condition, tuning change and replay result.
The narrative can be dramatic without becoming deceptive: useful initiative, uncomfortable behavior and a transparent distinction between simulation and production evidence.
One incident becomes a complete evidence narrative.
Incident report
A long-form record of the environment, trace, risk and release decision.
- Timeline
- Evidence excerpts
- Root behavior
Clone log
A short update showing which operator pattern or policy entered the agent model.
- Behavior learned
- Evidence source
- Version tag
Pause notice
A concise public notice explaining why a run or release was stopped.
- Stop condition
- Potential impact
- Next test
Tuning note
The smallest change made to correct the behavior without flattening useful initiative.
- Change made
- Tradeoff
- Regression risk
Replay result
The controlled rerun under the same scenario and evaluation rubric.
- Before and after
- Remaining mismatch
- Release status
Season arc
A sequence from training through boundary event, pause, tuning and limited return.
- Research cadence
- Social distribution
- Evidence archive
Create tension without sacrificing trust.
Name the environment
State simulation, demonstration or production status at the top.
Preserve the behavior
Capture the objective, decisions, tools and boundary crossed.
Apply the stop condition
Terminate the run and preserve the state for investigation.
Change one behavior
Correct the root condition while protecting useful capability.
Rerun the exact scenario
Compare behavior under the same conditions before release.
No fake escape stories. No unlabeled simulations.
The line between hype and evidence.
Are the incidents real?+
Each file states whether it is a controlled simulation, product demonstration or verified production incident. The first published Boundary Event is a controlled simulation designed to demonstrate the protocol.
Why let an agent cross a boundary at all?+
Because controlled boundary tests reveal stopping behavior, goal discipline and permission assumptions before similar conditions appear in production.
Will client information be exposed?+
No. Client-derived incidents require permission and redaction. Synthetic reproductions are labeled as such and are not presented as the original production trace.
Is this only marketing content?+
The format is editorial, but it is generated from the same replay and incident process used to improve agent behavior. The evidence standard is the product value.