INCIDENT TELEMETRY // HONEST ENGINEERING LOGS

System Post-Mortems // Failure Diagnostics

Real production AI systems do not fail gracefully by default. True engineering credibility is demonstrated by diagnosing edge-case failures, identifying exact root causes, and deploying deterministic architectural mitigations.

Documented Incidents

05 Cases

Mitigation Rate

100% Resolved

Blast Radius

Isolated

Audit Status

Production Verified

Filter:

SHOWING 6 OF 6

INCIDENT #01

Algorithmic Trading & Predictive Research Agent

agentSTATUS: mitigated

01. Trigger Condition

High-impact macro economic news shocks (e.g., CPI / Fed rate announcements)

02. Observed Failure

Forecast error spikes beyond 5% MAPE baseline, lagging during rapid trend reversals.

03. Technical Root Cause

ARIMA quantitative models operate strictly on historical numerical price series, blind to semantic news sentiment.

04. Engineered Mitigation

Architected a decoupled FastMCP sentiment tool layer that scans live feeds and dynamically dampens quantitative weights during breaking news.

INSPECT SYSTEM ARCHITECTURE→GitHub Repo ↗

INCIDENT #02

Enterprise Document RAG System

ragSTATUS: mitigated

01. Trigger Condition

Multi-worker horizontal scaling under concurrent enterprise query load

02. Observed Failure

Local in-memory FAISS index divergence across distributed worker instances without shared state synchronization.

03. Technical Root Cause

FAISS is an embedded in-process library lacking native network replication and transactional clustering.

04. Engineered Mitigation

Engineered a vector store adapter layer supporting hot-swappable local FAISS for rapid dev testing and distributed Qdrant/pgvector for production multi-node deployments.

INSPECT SYSTEM ARCHITECTURE→GitHub Repo ↗

INCIDENT #03

AI Financial Analyst Agent

agentSTATUS: mitigated

01. Trigger Condition

Concurrent multi-user requests querying stock tickers simultaneously

02. Observed Failure

Charts failed to appear properly or showed swapped ticker data: saving to a static local file caused concurrent requests to switch/overwrite the file before the previous response finished streaming.

03. Technical Root Cause

Writing to a shared local server file creates race conditions across asynchronous FastAPI workers, breaking multi-user request isolation.

04. Engineered Mitigation

Eliminated local disk persistence completely. Configured headless Matplotlib ('Agg') to render directly into isolated in-memory io.BytesIO byte streams returned via base64.

INSPECT SYSTEM ARCHITECTURE→GitHub Repo ↗

INCIDENT #04

Cognitive Load Balancer AI

agentSTATUS: mitigated

01. Trigger Condition

Deep task-dependency trees with high token volume and nested sub-chains

02. Observed Failure

Sequential multi-prompt chaining created cumulative latency bottlenecks exceeding 8 seconds per task graph.

03. Technical Root Cause

Synchronous linear chaining blocked execution while waiting for non-dependent intermediate sub-tasks to resolve.

04. Engineered Mitigation

Restructured task graph with prompt-level concurrency limits, executing independent task branches in parallel before final ROI synthesis.

INSPECT SYSTEM ARCHITECTURE→GitHub Repo ↗

INCIDENT #05

Healthcare Appointment Assistant (MyEyeDr)

agentSTATUS: mitigated

01. Trigger Condition

Ambiguous patient conversational phrasing during time-slot selection (e.g., 'next Tuesday morning')

02. Observed Failure

LLM hallucinated non-existent clinic calendar slots, risking double-booked practitioner schedules.

03. Technical Root Cause

Over-reliance on LLM generative outputs without deterministic calendar API slot validation.

04. Engineered Mitigation

Inserted a strict deterministic guardrail: conversational slot suggestions must pass an automated real-time Salesforce schedule verification checkpoint before booking confirmation.

INSPECT SYSTEM ARCHITECTURE→GitHub Repo ↗

INCIDENT #06

Autonomous Agentic Evaluation & Guardrail Harness

agentSTATUS: mitigated

01. Trigger Condition

Adversarial circular prompting designed to trigger recursive reflection loops

02. Observed Failure

Unbounded graph recursion cycles consuming excessive LLM tokens and causing execution timeouts.

03. Technical Root Cause

Cyclic state graphs without hard iteration bounds can loop indefinitely when refinement conditions fail to converge.

04. Engineered Mitigation

Engineered a deterministic recursion limiter (max_iterations=3) and an automated fallback refusal gate triggering when factual evaluation score remains below 0.85 after two cycles.

INSPECT SYSTEM ARCHITECTURE→GitHub Repo ↗