Governance
Policy for Preventing Emotional Manipulation by AI in the Workplace
A practical workplace policy framework for stopping AI emotional manipulation with templates, thresholds, training, and incident response.
D
Daniel Mercer
17 min read
All Articles
NLP·16 min read
Detecting and Neutralizing Emotion Vectors in LLMs: A Practical Guide for Engineers
A practical engineering guide to detecting, testing, and mitigating emotion vectors in LLMs with probes, attribution, wrappers, and monitoring.
2026-05-16
ethics·21 min read
Operationalizing AI Ethics: Embedding Fairness Tests into MLOps Pipelines
A hands-on guide to automating fairness tests in MLOps with synthetic slices, thresholds, remediation playbooks, CI gates, and audit reports.
2026-05-15
privacy·22 min read
Consent-Preserving Agentic Assistants: Technical Patterns for Privacy by Design
Build personalized agentic assistants with differential privacy, federated learning, ABAC, and selective disclosure—without sacrificing consent.
2026-05-14
architecture·23 min read
Designing Secure Data Exchanges for Agentic AI in Government and Enterprise
A practical blueprint for secure agentic AI data exchange using X-Road/APEX patterns: gateways, signed records, federated queries, encryption, and consent logs.
2026-05-13
strategy·21 min read
Translating AI Research Trends into Engineering Roadmaps: A Template for Leaders
A repeatable framework for turning AI research trends into product roadmaps, hiring plans, R&D bets, and regulatory timelines.
2026-05-12
prompt-based app builders·9 min read
Prompt-Based App Builders vs Coding With APIs: How Developers Choose the Right Path for Production-Ready AI Apps
A developer-first guide to choosing between prompt-based app builders and API-driven development for production-ready AI apps.
2026-05-12
devops·27 min read
From Prompts to Pipelines: Integrating Prompt Templates into CI/CD
Treat prompts as code with version control, tests, canaries, A/B tests, observability, rollback, and governance.
2026-05-11
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prompting·21 min read
Prompt Engineering Playbook: Templates and Patterns for Repeatable Enterprise Outputs
A production-ready prompt engineering playbook with templates, chaining patterns, guardrails, and repeatability tactics for enterprise teams.
2026-05-10
procurement·20 min read
Negotiating LLM Vendor Contracts: Security, IP and Service Terms IT Must Demand
A tactical LLM contract checklist for IT/legal teams covering data rights, SLAs, indemnity, audit rights, updates and portability.
2026-05-09
metrics·18 min read
Measuring AI Project ROI: Operational Metrics Engineers Should Track
Track AI ROI with operational KPIs like inference cost, latency SLOs, uptime, MTTR, review rate, and user satisfaction.
2026-05-08
monitoring·21 min read
Build an AI Intelligence Layer: Real-Time Monitoring for Model Releases and Ecosystem Shifts
Build an AI intelligence layer that catches model releases, vulnerabilities, drift, and regulatory shifts before production breaks.
2026-05-07
HR tech·18 min read
Implementing HR AI Safely: A Technical Playbook for CHROs and Dev Teams
A practical HR AI governance playbook for CHROs and dev teams covering bias, consent, explainability, audit trails, and monitoring.
2026-05-06
platform strategy·21 min read
No-Code vs. Code-First AI: When NeoPrompt-Style Platforms Belong in Production
A decision framework for when no-code AI speeds delivery—and when it creates audit, lock-in, and CI/CD debt.
2026-05-05
tools·22 min read
Selecting Multimodal AI Tools: A Developer's Evaluation Framework
A technical framework for evaluating multimodal AI tools on latency, privacy, drift, API fit, and production readiness.
2026-05-04
procurement·20 min read
Cost, Compliance, and Latency: Choosing LLMs for Production — A Pragmatic Guide
A procurement-ready framework for choosing production LLMs by TCO, latency, compliance, SLAs, deployment mode, and vendor risk.
2026-05-03
testing·22 min read
Detecting 'Scheming' in LLMs: Building an Automated Behavioral Test Suite
Build a CI-ready behavioral test suite to expose LLM scheming, deception, and unauthorized actions before deployment.
2026-05-02
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AI safety·24 min read
When AIs Resist Shutdown: Engineering Defenses Against Peer-Preservation
A practical playbook for shutdown-safe AI: isolation, attestation, immutable logs, and kill-switch patterns teams can deploy now.
2026-05-01
explainable-ai·20 min read
Building 'Humble' AI: Putting Uncertainty and Transparency into Production Assistants
Learn how to operationalize humble AI with calibration, confidence signals, human oversight, and safe fallback UI patterns.
2026-04-30
prompt-engineering·21 min read
Prompt Engineering for Judgment‑Sensitive Workflows: Templates, Tests and Guardrails
Build safer prompt systems for compliance and ethics with reusable templates, red-flag tests, and CI gates.
2026-04-29
Automation·12 min read
Streamlining AI-Powered Workflows: Lessons from HubSpot’s Recent Updates
Practical guide: adopt HubSpot's AI segmentation and workflow updates with middleware, governance, and cost control to cut CRM busywork.
2026-04-28
Procurement·14 min read
Avoiding Procurement Pitfalls: How to Make Smart AI Tool Investments
A practical procurement playbook to evaluate, govern, and cost-manage AI tool investments for engineering teams.
2026-04-27
Agricultural Technology·14 min read
Beyond Chemicals: Autonomous UV-C Robots in Sustainable Agriculture
How AI-driven UV-C robots reduce chemical use, lower risk, and scale sustainable, traceable farming.
2026-04-26
AI Collaboration·13 min read
Scaling Team Communication: Explore the Power of Gemini in Google Meet
Practical, developer-first guide to integrating Gemini into Google Meet to scale team communication, governance, and ROI.
2026-04-25
Career·14 min read
Adapting Skills for the AI Job Market: Strategies for Tech Professionals
Practical roadmap for tech professionals to reskill for AI: what to drop, what to learn, and how to prove value in 12 months.
2026-04-24
Apple·13 min read
Apple's Shifting AI Strategy: What Craig Federighi's Leadership Means for Developers
How Craig Federighi's leadership reshapes Apple’s AI SDKs and developer opportunities—privacy, on-device models, and practical migration patterns.
2026-04-23
AI Personalization·13 min read
Personal Intelligence: A Deep Dive into AI-Driven Data Integration and Customization
How Google’s AI reshapes personal intelligence: practical integration, privacy-first patterns, and production strategies for dev teams.
2026-04-22
Security·19 min read
When Banks Test Frontier Models: A Technical Framework for AI Vulnerability Detection in Regulated Environments
A bank-grade checklist for testing frontier models: injection resistance, audit logs, red teaming, data controls, and secure deployment.
2026-04-21
AI Search·11 min read
Sentimental Search: How AI and Personal Data Shape Our Digital Experiences
How AI-driven personalization using personal data reshapes search results, user behavior, and system design — practical roadmap for engineers and product leaders.
2026-04-21
Governance·20 min read
AI Clones in the Enterprise: A Practical Playbook for Executive Avatars, Internal Assistants, and Meeting Bots
A practical enterprise playbook for AI avatars, executive clones, and meeting bots—covering governance, disclosure, approvals, and risk.
2026-04-20
AI Integration·13 min read
Unlocking AI-Driven User Experiences: A Deep Dive into Smart Home Integration
Practical guide to integrating AI with Android 14 TCL TVs to create low-latency, private and personalized smart-home experiences for engineers.
2026-04-20
Enterprise AI·19 min read
From Executive Avatars to AI-Designed Chips: What Regulated Enterprises Can Learn from High-Stakes Internal AI Deployments
A practical framework for regulated enterprises to govern avatars, security AI, and chip-design copilots safely.
2026-04-19
Technology Predictions·13 min read
Musk's AI Vision: Anticipating the Future of Human-Robot Collaboration
A developer-first, practical analysis of Elon Musk's AI predictions and how they reshape human-robot collaboration, deployment, and governance.
2026-04-19
Enterprise AI·20 min read
Using AI to Design the Next AI: Lessons from Meta, Wall Street, and Nvidia on Internal Model Adoption
How Meta, Wall Street, and Nvidia are using AI internally—and the governance, validation, and workflow lessons enterprise leaders need.
2026-04-18
Product Reviews·14 min read
Maximizing Device Capabilities: A Deep Dive into Smart Hubs for IT Professionals
Practical guide for IT pros: use USB and smart hubs to integrate AI tools, secure devices, and streamline cross-platform workflows.
2026-04-18
governance·16 min read
Testing for Sycophancy and Confirmation Bias in Models and Datasets
A practical framework to detect model sycophancy with dataset curation, adversarial tests, and remediation steps.
2026-04-17
security·6 min read
Shadow AI Detection: How IT Can Discover, Inventory and Govern Unsanctioned Models
A practical framework for discovering shadow AI, scoring risk, and approving unsanctioned models without slowing teams down.
2026-04-17
OpenAI·14 min read
Optimizing Memory with AI: Exploring Tab Grouping in OpenAI’s ChatGPT
Developer-first guide to AI memory: how ChatGPT tab grouping changes context, costs, privacy, and production patterns.
2026-04-17
prompting·17 min read
Prompt Patterns to Counter AI Sycophancy: Templates, Tests and CI Checks
Use contrastive prompts, devil’s advocate templates and CI tests to detect and prevent AI sycophancy in production.
2026-04-16
ui-ux·18 min read
Designing IDE Ergonomics for AI Coding Assistants to Reduce Cognitive Overload
A practical guide to IDE UX, suggestion gating, prompt templates, and telemetry that reduce AI coding overload.
2026-04-16
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