Production RAG Validation Suite
A published evaluation method for testing retrieval quality, groundedness, and failure boundaries before a knowledge assistant is released.
Explore the questions, decisions, and artifacts behind our analysis, prototypes, concepts, and engineering methods.
Each entry identifies what was made, its source, and its limitations.
Explore the Cyclistic source figures, model and disclosed assumptions.
Inspect the case study
Five perspectives on a technical problem. Follow the work, then inspect the evidence and its boundaries.
A published evaluation method for testing retrieval quality, groundedness, and failure boundaries before a knowledge assistant is released.
A concept interface for webhook intake, signature checks, and routing an incident to an on-call owner.

Daily ride counts · Python analysis artifact. The chart’s source run is separate from the BI demonstration export.
Python analysis artifacts, a dimensional BI model, and a financial scenario explorer.
An interactive system map for following data through a knowledge assistant, API synchronization, and a BI pipeline.
A decision framework for choosing between deterministic scripts, queued webhooks, AI assistance, and human review.
Python analysis artifacts, a dimensional BI model, and a financial scenario explorer.
A modular Python pipeline, analysis figures, a one-fact/six-dimension BI structure, DAX definitions, and a browser-based scenario model.
The BI export contains 61,973 demonstration records. The repositories expose the analytical workflow and modeling logic, without establishing realized commercial results.
Scope: Independent work, not a client engagement. Data-generation code is present in the source; historical provenance and the original run behind the Python figures are not independently established. Financial outputs are hypothetical.
An interactive system map for following data through a knowledge assistant, API synchronization, and a BI pipeline.
Illustrative system map
A working browser explorer with three pipelines, stage details, and a comparison view.
Scope: An explanatory frontend prototype. The diagram does not run the depicted infrastructure or connect to production systems.
A concept interface for webhook intake, signature checks, and routing an incident to an on-call owner.
Concept interface · illustrative flow
A branded interface sketch of intake, verification, and idempotent routing.
Scope: A presentation concept, not a deployed dispatcher. No client, operational integrations, or response-time results are claimed.
A published evaluation method for testing retrieval quality, groundedness, and failure boundaries before a knowledge assistant is released.
Concept preview · evaluation method
A technical guide with a readiness checklist and a retrieval trade-off table.
Scope: A written methodology, not an implemented benchmark product or a published scored evaluation run.
A decision framework for choosing between deterministic scripts, queued webhooks, AI assistance, and human review.
Illustrative decision framework
A practical checklist and approach comparison published in the engineering journal.
Scope: A planning method. It does not demonstrate measured savings or a delivered automation project.
A guide to dimensional structure, explicit measure definitions, and a dashboard organized around the decisions it supports.
Illustrative model · methodology guide
A written dashboard-design guide with modeling principles and a build checklist.
Scope: A methodology guide, not an additional delivered dashboard. No query-speed benchmark or client outcome is claimed.
5 of 6: Workflow Automation Feasibility Model
The architecture explorer is a working frontend prototype. Follow a stage to see its inputs, outputs, and failure boundaries.
Ground language models in authoritative corporate documents, enforce citation boundaries, and maintain a deterministic human escalation path for low-confidence inference.
Illustrative design / no live system connectionParse heterogeneous enterprise documents, extract high-fidelity text and tabular structures, and strip non-authoritative boilerplate before indexing.
Cryptographic SHA-256 hash verified; metadata normalized before parsing.
Corrupt or encrypted payloads quarantined to Dead-Letter Queue.
Sanitized markdown AST with tabular preservation
Most real systems cross more than one discipline. Bring the constraint and we will map the smallest reliable path through it.