I have been the person who gets called when things are broken for over two decades. Server failures, security breaches, botched migrations, ransomware incidents, infrastructure collapses. The pattern is always the same: something is on fire, the client is panicking, and someone needs to walk into the room and make it better.
What most people do not see is that the approach to remediation is not improvised. It follows patterns. Patterns I have refined through repetition, failure, and reflection. Tessera’s job is to codify those patterns and make them accessible under pressure.
The Remediation Taxonomy
After analyzing my own decision history, I identified seven distinct remediation patterns that account for about ninety percent of the technical crises I have managed:
Containment First. Stop the bleeding before diagnosing the disease. Isolate affected systems, preserve evidence, establish communication channels. This pattern applies to security incidents, data corruption events, and cascading infrastructure failures.
Root Cause Triangulation. Use three independent data sources to confirm the root cause before acting. Logs, monitoring data, and human observation. A single source is a hypothesis. Two sources are a theory. Three sources are a basis for action.
Staged Rollback. When the remediation involves undoing a change, roll back in stages rather than all at once. Each stage is a checkpoint. If the rollback itself causes problems, you have a known-good state to return to.
Parallel Path Resolution. When the root cause is uncertain, pursue two or three remediation paths simultaneously rather than sequentially. The cost of wasted effort on a wrong path is lower than the cost of sequential trial-and-error when the client is down.
Stakeholder Cadence. Establish a communication rhythm with the client immediately. Every thirty minutes during active incidents. Every two hours during remediation. Every day during recovery. The cadence itself reduces client anxiety more than the content of any individual update.
Post-Mortem Architecture. Before the remediation is complete, start building the post-mortem. Document what happened, when, what was tried, what worked, what did not. The post-mortem written in real time is ten times more accurate than one written from memory next week.
Prevention Integration. Every remediation ends with a prevention recommendation. Not a vague “we should monitor better” but a specific, implementable change that addresses the root cause. If the remediation does not produce a prevention artifact, the job is not done.
Teaching Tessera the Patterns
Each pattern is encoded in the knowledge graph as a template: a sequence of decision points with branches based on conditions. When I am in a remediation scenario and ask Tessera for support, it matches the current situation to the most relevant pattern, retrieves prior instances where that pattern was applied, and presents a guided framework.
The framework is not prescriptive. It does not tell me what to do. It tells me what I usually do in this situation, what worked, what did not, and what I should consider that I might be missing under pressure. The value is not automation. It is augmented recall under stress.
This is where the life context model intersects with technical remediation. Tessera knows my current cognitive load, my recent sleep patterns (from health context), my active commitments, and whether I am operating at full capacity or running on fumes. That context influences how it presents information: more structured and directive when I am depleted, more open-ended when I am sharp.
An assistant that adapts its support style to my current state is not a luxury. It is the difference between good decisions and bad ones when the stakes are highest.