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Technical notes,not thought leadership.

Three working guides for decisions that are expensive to reverse: how to evaluate automation, what to validate in a RAG system, and how to build a dashboard that holds up.

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Three decisions
worth understanding.

Architecture. Evaluation. Trade-offs.
Workflow Automation & AI7 min read

How to Evaluate a Business Workflow Before Automating It

Automating a broken or unstable manual process produces automated failure at machine speed. Before investing engineering hours into AI agents or custom integration pipelines, technical leaders must systematically evaluate process stability, exception volume, data structure, and maintenance costs.

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October 2026Read the guide
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Workflow Automation Approach: Trade-Off Matrix

  • Deterministic API / Script Pipeline
  • Webhook Event Broker + Queue
  • LLM / AI-Assisted Extraction Pipeline
  • Interactive Human-in-the-Loop Workflow
Trade-off matrix4 comparisons
Applied AI & Engineering8 min read

What to Validate Before Launching a RAG Knowledge Assistant

Retrieval-Augmented Generation (RAG) is the dominant architecture for grounding LLMs in proprietary knowledge. However, moving from an impressive prototype to a dependable production assistant requires rigorous mathematical evaluation of retrieval precision, chunk boundaries, and answer faithfulness.

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October 2026Read the guide
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RAG Retrieval Architecture: Strategic Trade-Offs

  • Standard Dense Vector Search
  • Hybrid Search (Dense + BM25 Lexical)
  • Two-Stage Retrieval (Cross-Encoder Reranking)
  • Hierarchical Parent-Document Retrieval
Trade-off matrix4 comparisons
Data Analytics & BI7 min read

From Raw Data to Decisions: Designing a Useful Business Intelligence Dashboard

Most corporate dashboards fail not from a lack of data, but from an absence of editorial discipline. A high-value business intelligence dashboard is not a visual warehouse of every table in your database; it is an executive decision tool structured around core KPIs, dimensional modeling, and actionable follow-ups.

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October 2026Read the guide
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Dashboard Architecture: Star Schema vs. Flat Reporting Tables

  • Query Performance & Storage
  • DAX Calculation Simplicity
  • User Slice & Filter Flexibility
  • Maintenance & Schema Updates
Trade-off matrix4 comparisons

A guide is not a substitute for your context.

If the decision involves your systems, your data, or a real deadline, bring the specifics. We can scope the unanswered part.

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