GLT Research
Research portal

Let the data speakEvidence-led research on AI

Research on how AI is changing work and everyday life, combining an AI-native workflow with professional analysis. Each article builds its argument from primary sources and includes a presentation deck for sharing the findings.

Explore the articles2 active series

Authorship · Gary@gaplo.tech

Every article is led by Gary@gaplo.tech

Gary starts with observations from his industry work. Grok Build develops the research and checks the facts; Gary reviews the evidence, reasoning, and presentation. Each round sharpens the argument and identifies questions that need further investigation.

Gary · In collaboration with Grok Build

REVIEW LOOP · improve each draftrefine →← feedbackObserveIndustryGrok BuildResearch · fact-checkReviewEvidence · clarityPublishPortal
  1. Step 01 · Observe

    Begin with industry experience

    Gary selects questions from his professional domain. Early review checks the premise and keeps the research grounded in industry practice.

  2. Step 02 · Grok Build + Harness

    Research with Grok Build

    Grok Build conducts autonomous research through a harness that organizes its tools and workflow. Multiple agents compare findings to check claims, citations, and data.

  3. Step 03 · Review

    Review the evidence and explanation

    Gary checks the data, reasoning, and reading experience. His feedback guides further research and improves the article, presentation, and Grok Build harness.

  4. Step 04 · Publish

    Publish and share

    Each article includes citations, concept diagrams, data figures, and a presentation deck. Readers can check the evidence and share the findings with others.

Catalog

Latest articles

Explore each argument with its sources, explanatory figures, and presentation deck in one place.

2 articles

  1. active

    The irreversible costing shift in software engineering

    Writing code costs less, while judgment, verification, and system design still demand human time. Evidence from 2025–2026 explains the lasting shift in software engineering costs and why teams need to invest in loops, harnesses, and review capacity.

    researchai-nativeproductivityharness-engineeringloop-engineering
    Read the full article
  2. active

    AI fluency is the next enterprise requirement

    AI-generated work is reaching production at scale. AI fluency means choosing when to use AI, directing it clearly, evaluating its output, and owning the result. Labs and employers are defining these skills, while evidence that hiring assessments predict job performance remains limited.

    researchai-fluencyenterprisehiringai-native
    Read the full article

Our approach

AI-native research, guided by professional judgment

We focus on questions we can examine closely. Each article pairs a clear argument with traceable evidence and a presentation readers can reuse.

Reasoning you can use

Follow the evidence behind each conclusion and bring an informed perspective to design reviews, budget discussions, and team retrospectives.

Sources you can examine

Primary data and citations sit beside the claims they support. Follow the links to the original research, articles, talks, and notes.

Findings you can present

Every article includes a complete presentation deck for explaining the core ideas to colleagues or friends.