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Scott Mc

@scottdudeman69.bsky.social
40 followers 31 following 157 posts

I am a technical writer and AI specialist. I write a blog called aitransformer.online.

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Scott Mc @scottdudeman69.bsky.social · 01/09/2026
I built SageBox, a private AI search and chat RAG system that runs entirely on my own hardware. It combines local AI models, PostgreSQL, pgvector, n8n, and WordPress. aitransformer.online/how-i-built-... #LocalAI #RAG
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Scott Mc @scottdudeman69.bsky.social · 10/08/2026
Feature stores need consistent data, low-latency retrieval, versioning, monitoring, and governance to support production AI. What data engineers need to run them successfully: aitransformer.online/ai-powered-f... #MLOps
ai-powered feature stores
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Scott Mc @scottdudeman69.bsky.social · 03/08/2026
ETL developers already have many skills needed for AI engineering. Pipeline design, validation, schema management, and data quality all transfer to RAG and other AI systems. Here’s a practical path for making the transition: aitransformer.online/etl-develope...
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Scott Mc @scottdudeman69.bsky.social · 31/07/2026
AI project retrospectives go beyond deadlines and budgets. Review data, model performance, governance, teamwork, and results to improve the next project. [aitransformer.online/how-to-run-an-…...) #AI #ProjectManagement
how to run an AI project retrospective
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Scott Mc @scottdudeman69.bsky.social · 30/07/2026
AI is transforming the CISO role. In 2026, security leaders must govern AI, protect data, secure autonomous agents, and manage emerging risks while supporting responsible innovation. [aitransformer.online/ai-and-ciso-ro…...) #CISO #AISecurity
CISO role with AI
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Scott Mc @scottdudeman69.bsky.social · 29/07/2026
AI can help teams analyze legacy code, map dependencies, rebuild documentation, and improve migration testing. Human oversight remains essential for protecting critical business logic. [aitransformer.online/ai-for-legacy-…...)
AI for legacy systems
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Scott Mc @scottdudeman69.bsky.social · 24/07/2026
AI helps forecast demand, identify skills gaps, detect bottlenecks, and allocate resources effectively. See how predictive insights improve capacity planning. [aitransformer.online/ai-for-resouce…...)
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Scott Mc @scottdudeman69.bsky.social · 23/07/2026
Zero-day vulnerabilities can be exploited before a patch exists. AI helps security teams identify unusual behavior, uncover unknown threats, and respond faster. Read more: [aitransformer.online/zero-day-vulne…...)
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Scott Mc @scottdudeman69.bsky.social · 22/07/2026
AI systems get complicated as businesses add more models, agents, tools, and data sources. An AI orchestration layer helps coordinate these components securely, reliably, and at scale. Read more: [aitransformer.online/ai-orchestrati…...)
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Scott Mc @scottdudeman69.bsky.social · 21/07/2026
Technical documentation is moving beyond text. Multimodal documentation combines writing, diagrams, screenshots, video, audio, and interactive content to make complex information clearer and more accessible. aitransformer.online/multimodal_d...
multimodal documentation
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Scott Mc @scottdudeman69.bsky.social · 13/07/2026
Fraud is getting smarter, and businesses need smarter defenses. AI can detect suspicious activity in real time, uncover hidden patterns, reduce false positives, and adapt as fraud tactics evolve. Read more: aitransformer.online/ai-for-fraud... #AI #FraudDetection #Cybersecurity
ai for fraud identification
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Scott Mc @scottdudeman69.bsky.social · 09/07/2026
AI models don't have to be stolen to be copied. Model distillation attacks use API interactions to recreate the behavior of proprietary AI systems, putting valuable intellectual property at risk. Protecting AI requires more than traditional cybersecurity. aitransformer.online/how-to-prote...
protecting against distillation attacks
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Scott Mc @scottdudeman69.bsky.social · 08/07/2026
AI can generate code in minutes. Deploying it to production is where the real engineering begins. Security, testing, observability, performance, maintainability, and governance all determine whether an AI-generated application succeeds in the real world. aitransformer.online/vibe-coding-...
vibe coding production-ready software
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Scott Mc @scottdudeman69.bsky.social · 03/07/2026
Sprint planning is becoming more data driven with AI. Instead of relying on guesswork, teams can improve estimates, identify dependencies, surface risks, and prioritize work more effectively. aitransformer.online/ai-for-sprin...
AI for sprint planning
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Scott Mc @scottdudeman69.bsky.social · 01/07/2026
Choosing an AI coding assistant isn't just about features. It's about finding the workflow that matches how you build software. This comparison explores GitHub Copilot, Cursor, and Claude Code, including their strengths, limitations, pricing, and use cases. aitransformer.online/github-copil...
Github Copiliot vs Cursor vs Claude Code
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Scott Mc @scottdudeman69.bsky.social · 25/06/2026
AI is changing cybersecurity on both sides of the fight. PromptFlux shows how LLM-aware malware could adapt, generate commands, and challenge traditional detection methods. Security teams should prepare. aitransformer.online/promptflux-a... #CyberSecurity #AI #LLM #Malware
PromptFlux and LLMs
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Scott Mc @scottdudeman69.bsky.social · 23/06/2026
The future of AI isn't just bigger models. It's better knowledge. Domain-specific LLMs depend on accurate documentation, knowledge bases, and structured content. Technical writers have a bigger role than many realize. aitransformer.online/write-for-do... #AI #LLM #TechnicalWriting
writing for domain-specific LLMs
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Scott Mc @scottdudeman69.bsky.social · 18/06/2026
AI agents can reason, plan, use tools, and act autonomously. They also create security risks that traditional threat models were not built to address. Learn how to secure agentic AI systems. aitransformer.online/agentic-ai-t... #AI #AgenticAI #Cybersecurity
agentic ai threat models
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Scott Mc @scottdudeman69.bsky.social · 17/06/2026
AI coding assistants are powerful, but domain-specific LLMs can go further by understanding specialized frameworks, APIs, and business requirements. Learn how specialized AI models are improving code generation quality and developer productivity. aitransformer.online/domain-speci...
domain-specific LLMs for coding
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Scott Mc @scottdudeman69.bsky.social · 12/06/2026
Stakeholder analysis is essential for project success. AI can help identify key stakeholders, analyze sentiment, uncover risks, and improve communication strategies faster than traditional methods. aitransformer.online/use-ai-for-s... #AI #ProjectManagement #Leadership
use ai for stakeholder analysis
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Scott Mc @scottdudeman69.bsky.social · 11/06/2026
AI agents are helping organizations automate work. They're also giving attackers new tools. From reconnaissance to phishing and vulnerability discovery, agentic AI is reshaping cybersecurity. Read more: aitransformer.online/how-ai-attac... #AI #Cybersecurity #InfoSec
how ai attackers use agents
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Scott Mc @scottdudeman69.bsky.social · 10/06/2026
AI isn't just changing software development. It's changing software engineering teams. As AI agents handle more coding and testing tasks, engineers are focusing on architecture, security, and strategy. aitransformer.online/ai-is-restru... #AI #SoftwareEngineering
AI restructuring software engineering teams
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Scott Mc @scottdudeman69.bsky.social · 05/06/2026
AI in project management is evolving beyond single assistants. Multi-agent workflows use teams of AI agents that collaborate on planning, reporting, risk management, and resource coordination. Read more: aitransformer.online/mutliagent-w... #AI #ProjectManagement #AgenticAI #Automation
mutli-agent workflows for management
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Scott Mc @scottdudeman69.bsky.social · 03/06/2026
Data isn't only vulnerable when stored or transmitted. It can also be exposed during processing. Confidential computing helps protect workloads during execution. aitransformer.online/confidential... #Cybersecurity #AI #Cloud
confidential computing
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Scott Mc @scottdudeman69.bsky.social · 02/06/2026
AI products need more than great models. They need documentation that helps users understand capabilities, limitations, workflows, and best practices. Technical writing is becoming a critical part of successful AI. aitransformer.online/technical-wr... #AI #TechnicalWriting #Documentation
technical writing for ai services
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Scott Mc @scottdudeman69.bsky.social · 29/05/2026
AI is transforming the PMO from a manual reporting function into a predictive intelligence hub. Automation, predictive analytics, and real-time project insights are reshaping how organizations manage execution at scale. Read more: aitransformer.online/ai-pmo-trans...
AI PMO transform
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Scott Mc @scottdudeman69.bsky.social · 28/05/2026
AI-generated deception is becoming a serious cybersecurity threat. Deepfakes, cloned voices, and synthetic media are forcing security teams to rethink how digital trust works. Digital provenance may become a critical defense layer in the AI era. aitransformer.online/digital-prov...
digital provenance for security
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Scott Mc @scottdudeman69.bsky.social · 27/05/2026
Multi-agent AI systems allow specialized agents to collaborate, share context, and coordinate complex workflows. Learn how to build scalable agentic AI architectures: aitransformer.online/how-to-build...
building multi-agent ai systems
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Scott Mc @scottdudeman69.bsky.social · 26/05/2026
AI-generated disinformation is becoming a major enterprise risk. Deepfakes, cloned voices, fake screenshots, and synthetic media are forcing organizations to rethink trust, governance, and cybersecurity. Content teams are now part of the security perimeter. aitransformer.online/disinforrmat...
disinformation security for content makers
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Scott Mc @scottdudeman69.bsky.social · 25/05/2026
Agentic AI is pushing data science beyond prompt engineering and into autonomous execution. The next generation of AI systems will reason, retrieve information, execute workflows, and adapt with minimal supervision. The data scientist's role is changing fast. aitransformer.online/agentic-ai-f...
agentic AI for data science
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Scott Mc @scottdudeman69.bsky.social · 22/05/2026
Most AI projects fail because companies focus on models before strategy. Successful AI initiatives require governance, data quality, stakeholder alignment, monitoring, and measurable business outcomes. Here’s how to manage AI projects effectively: aitransformer.online/how-to-manag...
AI project management
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Scott Mc @scottdudeman69.bsky.social · 21/05/2026
AI-generated disinformation is becoming a major business risk. Deepfakes, synthetic media, and fake executive communications are forcing organizations to rethink cybersecurity, trust, and information integrity. Traditional security alone is no longer enough. aitransformer.online/disinformati...
disinformation security methods
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Scott Mc @scottdudeman69.bsky.social · 19/05/2026
AI-generated content is scaling fast across business, media, and technology, but authenticity and digital trust are becoming challenging. How do organizations verify AI-generated text, content, images, and videos while maintaining credibility? Read more: aitransformer.online/ai-content-a...
AI content authenticity
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Scott Mc @scottdudeman69.bsky.social · 18/05/2026
NLP engineering is becoming one of the most valuable AI career paths. Modern NLP engineers build AI search, RAG systems, semantic retrieval, intelligent assistants, and automation. This guide explains the skills and technologies behind the field: aitransformer.online/become-an-nl...
become a natural language processing engineer
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Scott Mc @scottdudeman69.bsky.social · 15/05/2026
Agentic AI is changing project management. AI agents can help monitor workflows, identify risks, automate reporting, and support real-time decision-making across complex projects. Project managers who understand AI-driven operations will be better prepared. aitransformer.online/agentic-ai-f...
agentic ai for project managers
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Scott Mc @scottdudeman69.bsky.social · 13/05/2026
AI-native development platforms are changing software engineering with AI-first workflows, intelligent automation, faster deployments, and smarter operations. The future of development may belong to platforms built around AI from day one. aitransformer.online/ai-native-de...
AI-native development processes
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Scott Mc @scottdudeman69.bsky.social · 12/05/2026
AI overviews are changing search fast. Content now needs to be optimized for humans and AI systems at the same time. Structure, semantic clarity, topical authority, and formatting all matter more than ever. Learn how to write content for AI-powered search: aitransformer.online/how-to-write...
How to write AI overviews for AI search
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Scott Mc @scottdudeman69.bsky.social · 11/05/2026
AI is transforming data engineering into one of the fastest-growing careers in tech. From vector databases to AI-ready infrastructure and real-time analytics, modern data engineers are building the foundation for intelligent systems. aitransformer.online/ai-data-engi...
AI data engineer career
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Scott Mc @scottdudeman69.bsky.social · 06/05/2026
AI is redefining full-stack development. It is no longer just front ends and APIs. Now it includes AI models, vector databases, and smart workflows. Developers who bridge software engineering and AI will have an edge. Read more: aitransformer.online/ai-full-stac...
AI full-stack development
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Scott Mc @scottdudeman69.bsky.social · 04/05/2026
Most AI systems don’t fail because of bad models. They fail because features aren’t consistent between training and production. If your feature pipelines are fragmented, scaling becomes slow and painful. Feature stores fix this with consistency. Read more: aitransformer.online/ai-feature-s...
AI feature store process
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Scott Mc @scottdudeman69.bsky.social · 01/05/2026
AI isn’t failing. Most teams just never scale it. Pilots are easy. Real value comes when AI is embedded into workflows, decisions, and daily operations. If your AI still feels like an experiment, that’s the problem. Here’s how to scale it for results: aitransformer.online/ai-program-s...
AI program scaling process
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Scott Mc @scottdudeman69.bsky.social · 29/04/2026
Most fail AI system design interviews for the same reason. They try to memorize architectures instead of learning how to think. These interviews test how you handle ambiguity, make tradeoffs, and explain decisions clearly. Stop memorizing. Start designing. aitransformer.online/ai-system-de...
AI system design interview
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Scott Mc @scottdudeman69.bsky.social · 27/04/2026
AI is scaling fast, but ethics is lagging behind. That gap is where bias, risk, and broken trust show up. If you are building AI, an ethics framework is not optional. It is the foundation. The teams that win will scale responsibly. aitransformer.online/ai-data-ethi...
AI data ethics
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Scott Mc @scottdudeman69.bsky.social · 24/04/2026
AI projects are not failing because of bad models. They are failing because no one is governing them. No ownership. No accountability. No clear decisions. That is how promising AI turns into risk. Fix governance first: aitransformer.online/ai-project-g...
AI project governance
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Scott Mc @scottdudeman69.bsky.social · 23/04/2026
AI security automation is not about speed. It is about control. More tools and more alerts are not solving the problem. They are making it harder to see what actually matters. A real strategy reduces noise, prioritizes real threats, and improves team response. aitransformer.online/ai-security-...
AI security automation method
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Scott Mc @scottdudeman69.bsky.social · 15/04/2026
73% of dev teams still aren't using AI in their CI/CD pipelines. Predictive builds. Smarter tests. Self-healing workflows. The tools are here. The teams learning this now will have a serious edge. aitransformer.online/ai-ci-automa... #DevOps #ContinuousIntegration #AIAutomation
AI CI automation
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Scott Mc @scottdudeman69.bsky.social · 14/04/2026
AI is generating content faster than ever. Most organizations have no plan for when it gets it wrong. That's the problem AI content governance solves. We just published a practical breakdown of how to build a framework. 👉 aitransformer.online/ai-content-g... #AIGovernance #ResponsibleAI #TechPolicy
AI content governance
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Scott Mc @scottdudeman69.bsky.social · 13/04/2026
AI forecasting models now outperform traditional methods by up to 14%. Google and Amazon have pre-trained models that work on data they've never seen. A new technique just cut prediction error by 23%. The field has changed fast. aitransformer.online/ai-time-seri...
AI time series forecasting
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Scott Mc @scottdudeman69.bsky.social · 10/04/2026
Most KPIs show what already went wrong. That is the problem. AI KPI development helps leaders spot risk earlier and act faster before issues grow. But it still depends on clear goals, clean data, and trust. aitransformer.online/ai-kpi-devel...
AI KPI development
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Scott Mc @scottdudeman69.bsky.social · 09/04/2026
Hackers aren’t breaking in anymore. They’re logging in. Deepfakes, synthetic identities, and account takeovers are scaling fast. Most defenses aren’t built for that. AI identity threat detection is becoming essential. aitransformer.online/ai-identity-... #Cybersecurity #AI #IdentitySecurity
AI identity threat identification
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