<?xml version="1.0" encoding="UTF-8" ?><feed xmlns="http://www.w3.org/2005/Atom"><title>Black Seed USA AI Hub</title><link href="https://blackseedusa.com/"/><updated>2026-06-24T05:50:03+00:00</updated><id>https://blackseedusa.com/</id><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author><entry><title>Predicting Performance Gains from Scaling Large Language Models</title><link href="https://blackseedusa.com/predicting-performance-gains-from-scaling-large-language-models"/><summary>Discover how scaling laws predict LLM performance gains. Learn about compute-optimal training, the Chinchilla effect, and test-time scaling strategies for efficient AI development.</summary><updated>2026-06-24T05:50:03+00:00</updated><published>2026-06-24T05:50:03+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Governance Models for Generative AI: Councils, Policies, and Accountability</title><link href="https://blackseedusa.com/governance-models-for-generative-ai-councils-policies-and-accountability"/><summary>Explore effective governance models for generative AI, including councils, policies, and accountability. Learn how to balance speed, compliance, and ethics in 2026.</summary><updated>2026-06-23T05:55:03+00:00</updated><published>2026-06-23T05:55:03+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>How Template-Based Prompts Stop LLM Hallucinations on Enterprise Data</title><link href="https://blackseedusa.com/how-template-based-prompts-stop-llm-hallucinations-on-enterprise-data"/><summary>Learn how template-based prompts drastically reduce LLM hallucinations on enterprise data. Discover the 5 key structural elements, RAG integration tips, and real-world benchmarks for accurate AI.</summary><updated>2026-06-22T06:28:08+00:00</updated><published>2026-06-22T06:28:08+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>API vs Open-Source LLMs: A Decision Framework for 2026</title><link href="https://blackseedusa.com/api-vs-open-source-llms-a-decision-framework-for"/><summary>Struggling to choose between API and open-source LLMs? This 2026 decision framework breaks down costs, performance gaps, and privacy needs to help you pick the right AI strategy.</summary><updated>2026-06-21T06:01:35+00:00</updated><published>2026-06-21T06:01:35+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Persona Calibration in Generative AI: Consistency Across Sessions and Channels</title><link href="https://blackseedusa.com/persona-calibration-in-generative-ai-consistency-across-sessions-and-channels"/><summary>Learn how to master persona calibration in Generative AI to ensure consistent behavior across sessions and channels. Discover techniques to stop persona drift, use structured prompts, and maintain reliable AI interactions.</summary><updated>2026-06-20T05:58:57+00:00</updated><published>2026-06-20T05:58:57+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>L1 to L4: Understanding Levels of Autonomy in AI Agents</title><link href="https://blackseedusa.com/l1-to-l4-understanding-levels-of-autonomy-in-ai-agents"/><summary>Explore the L1 to L4 framework for AI agent autonomy. Learn how each level shifts control from human operators to autonomous systems, with practical examples for software development and business workflows.</summary><updated>2026-06-19T06:15:07+00:00</updated><published>2026-06-19T06:15:07+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Fairness Testing for Generative AI: Metrics, Audits, and Remediation Plans</title><link href="https://blackseedusa.com/fairness-testing-for-generative-ai-metrics-audits-and-remediation-plans"/><summary>A practical guide to fairness testing for generative AI, covering key metrics, intersectional audits, and remediation strategies to meet 2026 regulatory standards.</summary><updated>2026-06-18T05:54:01+00:00</updated><published>2026-06-18T05:54:01+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Context Windows in LLMs: Limits, Trade-Offs, and Best Practices for 2026</title><link href="https://blackseedusa.com/context-windows-in-llms-limits-trade-offs-and-best-practices-for"/><summary>Explore the limits, trade-offs, and best practices of context windows in Large Language Models. Learn how token counts, hardware constraints, and attention dilution impact AI performance in 2026.</summary><updated>2026-06-17T05:53:28+00:00</updated><published>2026-06-17T05:53:28+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Scaling Vibe-Coded Apps: From MVP to Thousands of Users</title><link href="https://blackseedusa.com/scaling-vibe-coded-apps-from-mvp-to-thousands-of-users"/><summary>Learn how to scale vibe-coded apps from MVP to thousands of users. Discover architectural fixes for common AI-development pitfalls including database optimization, caching strategies, and infrastructure automation.</summary><updated>2026-06-16T05:58:28+00:00</updated><published>2026-06-16T05:58:28+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>RAG Explained: How Retrieval-Augmented Generation Fixes LLM Hallucinations</title><link href="https://blackseedusa.com/rag-explained-how-retrieval-augmented-generation-fixes-llm-hallucinations"/><summary>Learn how Retrieval-Augmented Generation (RAG) fixes LLM hallucinations by connecting AI to real-time data. Discover the 4-step RAG pipeline, vector databases, and why it beats fine-tuning for factual accuracy.</summary><updated>2026-06-15T06:04:31+00:00</updated><published>2026-06-15T06:04:31+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Role-Based Prompting for Generative AI: Expert Personas That Guide Better Responses</title><link href="https://blackseedusa.com/role-based-prompting-for-generative-ai-expert-personas-that-guide-better-responses"/><summary>Discover how role-based prompting shapes AI responses. Learn why expert personas work, when they fail, and how to implement ExpertPrompting for better generative AI results.</summary><updated>2026-06-14T05:51:44+00:00</updated><published>2026-06-14T05:51:44+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Human-in-the-Loop Operations for Generative AI: A Practical Guide to Review, Approval, and Exceptions</title><link href="https://blackseedusa.com/human-in-the-loop-operations-for-generative-ai-a-practical-guide-to-review-approval-and-exceptions"/><summary>A practical guide to implementing Human-in-the-Loop (HITL) operations for generative AI. Learn how to set up review, approval, and exception handling workflows to balance automation efficiency with quality control.</summary><updated>2026-06-13T05:52:21+00:00</updated><published>2026-06-13T05:52:21+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Multilingual Prompting: How to Fix Non-English LLM Outputs</title><link href="https://blackseedusa.com/multilingual-prompting-how-to-fix-non-english-llm-outputs"/><summary>Learn how to fix poor non-English LLM outputs using multilingual prompting techniques like XLT and selective pre-translation. Improve accuracy and reduce hallucinations.</summary><updated>2026-06-12T06:05:50+00:00</updated><published>2026-06-12T06:05:50+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Structured Reasoning Modules: How LLMs Plan and Use Tools in 2026</title><link href="https://blackseedusa.com/structured-reasoning-modules-how-llms-plan-and-use-tools-in"/><summary>Explore how Structured Reasoning Modules transform LLMs in 2026. Learn about the Generate-Verify-Revise framework, tool use integration, and why it beats Chain-of-Thought for complex planning tasks.</summary><updated>2026-06-11T05:51:57+00:00</updated><published>2026-06-11T05:51:57+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Trunk-Based Development vs GitFlow: The Best Branching Strategy for AI Teams</title><link href="https://blackseedusa.com/trunk-based-development-vs-gitflow-the-best-branching-strategy-for-ai-teams"/><summary>Compare GitFlow and Trunk-Based Development for AI teams. Learn why TBD boosts speed, reduces merge conflicts, and fits ML workflows better than traditional branching.</summary><updated>2026-06-10T05:53:45+00:00</updated><published>2026-06-10T05:53:45+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Why Tokenization Still Matters in the Age of Large Language Models</title><link href="https://blackseedusa.com/why-tokenization-still-matters-in-the-age-of-large-language-models"/><summary>Explore why tokenization remains critical for LLM performance, cost, and accuracy. Learn how BPE, vocabulary size, and domain-specific tuning impact your AI projects.</summary><updated>2026-06-09T06:01:12+00:00</updated><published>2026-06-09T06:01:12+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>How Multimodal Generative AI Fixes Accessibility: Narration, Captions, and Descriptions</title><link href="https://blackseedusa.com/how-multimodal-generative-ai-fixes-accessibility-narration-captions-and-descriptions"/><summary>Discover how Multimodal Generative AI transforms digital accessibility through real-time narration, smart captions, and interactive descriptions, creating inclusive experiences for all users.</summary><updated>2026-06-08T05:53:20+00:00</updated><published>2026-06-08T05:53:20+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Vibe Coding in Fintech: Mock Data, Compliance Guardrails, and Safe Experiments</title><link href="https://blackseedusa.com/vibe-coding-in-fintech-mock-data-compliance-guardrails-and-safe-experiments"/><summary>Explore how fintechs use vibe coding safely with mock data and compliance guardrails. Learn to balance AI speed with regulatory requirements in 2026.</summary><updated>2026-06-07T05:50:03+00:00</updated><published>2026-06-07T05:50:03+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Vibe Coding with Wasp: The Full-Stack Framework for Rapid Web Apps</title><link href="https://blackseedusa.com/vibe-coding-with-wasp-the-full-stack-framework-for-rapid-web-apps"/><summary>Discover how Wasp enables 'vibe coding' for full-stack apps. Learn how this declarative framework cuts boilerplate by 70%, compares to Next.js, and speeds up MVP development in 2026.</summary><updated>2026-06-06T06:03:01+00:00</updated><published>2026-06-06T06:03:01+00:00</published><category>Technology &amp; Design</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Critique-and-Revise Prompting: How to Build Iterative Refinement Loops for Better AI Output</title><link href="https://blackseedusa.com/critique-and-revise-prompting-how-to-build-iterative-refinement-loops-for-better-ai-output"/><summary>Learn how critique-and-revise prompting transforms AI output quality. Discover iterative refinement loops, the PerFine framework, and practical steps to implement self-correcting LLM workflows.</summary><updated>2026-06-05T05:53:35+00:00</updated><published>2026-06-05T05:53:35+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Human Review Workflows for High-Stakes LLMs: A Guide to Factuality Control</title><link href="https://blackseedusa.com/human-review-workflows-for-high-stakes-llms-a-guide-to-factuality-control"/><summary>Learn how human review workflows ensure accuracy and compliance for high-stakes LLM responses. Explore HITL strategies, regulatory requirements, and implementation tips.</summary><updated>2026-06-04T05:54:37+00:00</updated><published>2026-06-04T05:54:37+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>User Education on LLM Limitations: Setting Expectations Responsibly</title><link href="https://blackseedusa.com/user-education-on-llm-limitations-setting-expectations-responsibly"/><summary>Learn how to set realistic expectations for Large Language Models (LLMs). This guide covers critical limitations like hallucinations, bias, and context limits, offering practical strategies for responsible and safe AI use in professional and educational settings.</summary><updated>2026-06-03T05:50:03+00:00</updated><published>2026-06-03T05:50:03+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>How to Create Custom Benchmarks for Enterprise LLMs: A Practical Guide</title><link href="https://blackseedusa.com/how-to-create-custom-benchmarks-for-enterprise-llms-a-practical-guide"/><summary>Learn how to create custom benchmarks for enterprise LLMs. Move beyond generic tests to evaluate accuracy, tone, and compliance with practical steps and real-world examples.</summary><updated>2026-06-02T05:55:23+00:00</updated><published>2026-06-02T05:55:23+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Vibe Coding in 2025: How AI Is Redefining Software Engineering Roles</title><link href="https://blackseedusa.com/vibe-coding-in-2025-how-ai-is-redefining-software-engineering-roles"/><summary>Discover how vibe coding is transforming software engineering in 2025. Learn about top AI tools like Cursor and Lovable, the shift from coding to validation, and how to manage technical debt.</summary><updated>2026-06-01T05:54:36+00:00</updated><published>2026-06-01T05:54:36+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Ethical AI Agents for Code: Guardrails that Enforce Policy by Default</title><link href="https://blackseedusa.com/ethical-ai-agents-for-code-guardrails-that-enforce-policy-by-default"/><summary>Explore how Ethical AI Agents for Code use policy-as-code and Law-Following AI frameworks to enforce compliance by default, ensuring safety and accountability in autonomous systems.</summary><updated>2026-05-31T06:08:00+00:00</updated><published>2026-05-31T06:08:00+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Cutting LLM Latency in Production: A Practical Guide to Model Compression</title><link href="https://blackseedusa.com/cutting-llm-latency-in-production-a-practical-guide-to-model-compression"/><summary>Learn how to reduce LLM latency in production using model compression techniques like quantization, sparsity, and distillation. Discover practical strategies to cut response times by up to 5x while maintaining high accuracy.</summary><updated>2026-05-30T06:34:56+00:00</updated><published>2026-05-30T06:34:56+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Self-Attention in Transformers: How LLMs Understand Context</title><link href="https://blackseedusa.com/self-attention-in-transformers-how-llms-understand-context"/><summary>Discover how self-attention powers large language models. Learn the query-key-value mechanism, multi-head attention, and why Transformers outperform RNNs in understanding context.</summary><updated>2026-05-29T06:04:44+00:00</updated><published>2026-05-29T06:04:44+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Meta-Reasoning in LLMs: How AI Self-Corrects and Optimizes Outputs</title><link href="https://blackseedusa.com/meta-reasoning-in-llms-how-ai-self-corrects-and-optimizes-outputs"/><summary>Discover how meta-reasoning enables LLMs to self-correct and optimize outputs. Learn about MRP, performance gains, and implementation strategies for 2026.</summary><updated>2026-05-28T06:03:10+00:00</updated><published>2026-05-28T06:03:10+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Continuous Security Testing for LLM Platforms: A 2026 Guide</title><link href="https://blackseedusa.com/continuous-security-testing-for-llm-platforms-a-2026-guide"/><summary>Learn how continuous security testing protects LLM platforms from prompt injection and data leaks. Explore 2026 tools, implementation steps, and regulatory compliance strategies.</summary><updated>2026-05-27T06:21:51+00:00</updated><published>2026-05-27T06:21:51+00:00</published><category>Cybersecurity</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Boosting LLM Accuracy: Combining RAG with Advanced Decoding Strategies</title><link href="https://blackseedusa.com/boosting-llm-accuracy-combining-rag-with-advanced-decoding-strategies"/><summary>Learn how combining RAG with decoding strategies like LoRAG and Layer Fused Decoding reduces LLM hallucinations and boosts factual accuracy.</summary><updated>2026-05-26T05:57:07+00:00</updated><published>2026-05-26T05:57:07+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Event-Driven Architectures with Vibe Coding: Patterns and Prompt Templates</title><link href="https://blackseedusa.com/event-driven-architectures-with-vibe-coding-patterns-and-prompt-templates"/><summary>Master event-driven architectures with vibe coding. Learn how to use structured prompt templates and patterns like CQRS to generate clean, scalable AI code while avoiding common pitfalls.</summary><updated>2026-05-25T06:02:27+00:00</updated><published>2026-05-25T06:02:27+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>How Finance Teams Use Generative AI for Forecasting Narratives and Variance Analysis</title><link href="https://blackseedusa.com/how-finance-teams-use-generative-ai-for-forecasting-narratives-and-variance-analysis"/><summary>Discover how finance teams use generative AI to automate forecasting narratives and variance analysis, boosting accuracy by 25% and cutting cycle times significantly.</summary><updated>2026-05-24T06:00:39+00:00</updated><published>2026-05-24T06:00:39+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Fixing Insecure AI Patterns: Sanitization, Encoding, and Least Privilege</title><link href="https://blackseedusa.com/fixing-insecure-ai-patterns-sanitization-encoding-and-least-privilege"/><summary>Learn how to secure AI systems by mastering sanitization, encoding, and least privilege. Fix insecure patterns in LLMs to prevent data leaks and prompt injections.</summary><updated>2026-05-23T06:09:09+00:00</updated><published>2026-05-23T06:09:09+00:00</published><category>Cybersecurity</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Prompt Sensitivity in LLMs: Why Small Wording Changes Break Output</title><link href="https://blackseedusa.com/prompt-sensitivity-in-llms-why-small-wording-changes-break-output"/><summary>Discover why small wording changes in prompts cause drastic output shifts in Large Language Models. Learn about PromptSensiScore, the ProSA framework, and proven techniques to build robust, consistent AI applications.</summary><updated>2026-05-22T05:57:39+00:00</updated><published>2026-05-22T05:57:39+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Evaluating Factuality During LLM Generation: Online Verification Strategies</title><link href="https://blackseedusa.com/evaluating-factuality-during-llm-generation-online-verification-strategies"/><summary>Explore top online verification strategies for evaluating LLM factuality. Compare OpenFactCheck, FactScore, and Noblis G3 to reduce hallucinations and ensure AI reliability in production.</summary><updated>2026-05-21T05:55:28+00:00</updated><published>2026-05-21T05:55:28+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Model Denial-of-Service Attacks on LLM APIs: Prevention and Resilience</title><link href="https://blackseedusa.com/model-denial-of-service-attacks-on-llm-apis-prevention-and-resilience"/><summary>Explore how Model Denial-of-Service attacks target LLM APIs, from query flooding to safeguard exploits. Learn practical prevention strategies including input validation, rate limiting, and zero-trust architecture to ensure resilience.</summary><updated>2026-05-20T06:02:26+00:00</updated><published>2026-05-20T06:02:26+00:00</published><category>Cybersecurity</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Logging and Observability for Production LLM Agents: A Practical Guide</title><link href="https://blackseedusa.com/logging-and-observability-for-production-llm-agents-a-practical-guide"/><summary>Learn why traditional monitoring fails LLM agents and how proper observability captures semantic quality signals. Explore AgentTrace framework, technical stacks, and continuous improvement workflows for production AI systems.</summary><updated>2026-05-19T05:58:41+00:00</updated><published>2026-05-19T05:58:41+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Emergent Abilities in LLMs: Why Big Models Suddenly Reason</title><link href="https://blackseedusa.com/emergent-abilities-in-llms-why-big-models-suddenly-reason"/><summary>Explore emergent abilities in LLMs: why large models suddenly gain reasoning skills without explicit training. Learn about scaling laws, risks, and best practices for managing unpredictable AI behavior.</summary><updated>2026-05-18T06:24:09+00:00</updated><published>2026-05-18T06:24:09+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Vibe Coding Adoption Roadmap: From Pilot Projects to Broad Rollout</title><link href="https://blackseedusa.com/vibe-coding-adoption-roadmap-from-pilot-projects-to-broad-rollout"/><summary>A practical roadmap for adopting vibe coding in enterprises. Learn how to move from pilot projects to broad rollout, managing risks, training teams, and integrating AI-generated code into production environments safely.</summary><updated>2026-05-17T06:27:37+00:00</updated><published>2026-05-17T06:27:37+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Generative AI for Software Development: Real Productivity Gains from Coding Assistants</title><link href="https://blackseedusa.com/generative-ai-for-software-development-real-productivity-gains-from-coding-assistants"/><summary>Explore the real productivity impact of AI coding assistants in 2026. We analyze data from GitHub Copilot, Amazon CodeWhisperer, and Tabnine, revealing why experienced developers sometimes slow down despite AI help.</summary><updated>2026-05-16T06:01:13+00:00</updated><published>2026-05-16T06:01:13+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Threat Modeling Vibe-Coded Apps: A Lightweight Workshop Guide for 2026</title><link href="https://blackseedusa.com/threat-modeling-vibe-coded-apps-a-lightweight-workshop-guide-for"/><summary>A practical guide to securing AI-generated apps. Learn how to run lightweight threat modeling workshops for vibe-coded applications, addressing unique risks like logical flaws and supply chain attacks.</summary><updated>2026-05-15T06:17:27+00:00</updated><published>2026-05-15T06:17:27+00:00</published><category>Cybersecurity</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Prompt Management in IDEs: Best Ways to Feed Context to AI Agents</title><link href="https://blackseedusa.com/prompt-management-in-ides-best-ways-to-feed-context-to-ai-agents"/><summary>Master prompt management in IDEs by feeding precise context to AI agents. Learn strategies for VS Code, JetBrains, and CodeWhisperer to reduce errors and save tokens.</summary><updated>2026-05-14T06:15:29+00:00</updated><published>2026-05-14T06:15:29+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>E-commerce Visuals with Multimodal Generative AI: Lifestyle Shots and Variants</title><link href="https://blackseedusa.com/e-commerce-visuals-with-multimodal-generative-ai-lifestyle-shots-and-variants"/><summary>Discover how multimodal generative AI transforms basic product photos into high-converting lifestyle imagery. Learn about workflows, limitations, and cost benefits for e-commerce teams in 2026.</summary><updated>2026-05-13T06:39:31+00:00</updated><published>2026-05-13T06:39:31+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Securing LLM Supply Chains: Containers, Weights, and Dependencies Guide</title><link href="https://blackseedusa.com/securing-llm-supply-chains-containers-weights-and-dependencies-guide"/><summary>Learn how to secure your LLM supply chain by protecting containers, verifying model weights, and managing dependencies. Practical steps and tool comparisons for 2026.</summary><updated>2026-05-12T05:50:03+00:00</updated><published>2026-05-12T05:50:03+00:00</published><category>Cybersecurity</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Mata v. Avianca: How to Build Safe AI Policies for Legal Research</title><link href="https://blackseedusa.com/mata-v.-avianca-how-to-build-safe-ai-policies-for-legal-research"/><summary>Learn how to build safe AI policies for legal use after the Mata v. Avianca case. Discover how to prevent hallucination risks, verify citations, and comply with new ethical standards.</summary><updated>2026-05-11T05:59:04+00:00</updated><published>2026-05-11T05:59:04+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Recordkeeping for Generative AI: Logging, Retention, and E-Discovery Guide</title><link href="https://blackseedusa.com/recordkeeping-for-generative-ai-logging-retention-and-e-discovery-guide"/><summary>Learn how to implement effective recordkeeping for generative AI, including logging strategies, retention policies, and e-discovery preparation to ensure compliance and accountability.</summary><updated>2026-05-10T05:58:26+00:00</updated><published>2026-05-10T05:58:26+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Preventing Catastrophic Forgetting in LLM Fine-Tuning: Techniques That Work</title><link href="https://blackseedusa.com/preventing-catastrophic-forgetting-in-llm-fine-tuning-techniques-that-work"/><summary>Explore proven techniques to stop LLMs from losing knowledge during fine-tuning. From LoRA myths to FIP and STM, discover the best strategies for 2026.</summary><updated>2026-05-09T06:09:05+00:00</updated><published>2026-05-09T06:09:05+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>AI Pair PM: How Autonomous Agents Generate and Refine Product Requirements</title><link href="https://blackseedusa.com/ai-pair-pm-how-autonomous-agents-generate-and-refine-product-requirements"/><summary>Discover how AI Pair PM transforms product management in 2026. Learn how autonomous agents generate and refine PRDs, boosting speed and accuracy while keeping humans in control.</summary><updated>2026-05-08T06:06:23+00:00</updated><published>2026-05-08T06:06:23+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Synthetic Workforce: How Digital Employees and AI Orchestration Are Reshaping Business in 2026</title><link href="https://blackseedusa.com/synthetic-workforce-how-digital-employees-and-ai-orchestration-are-reshaping-business-in"/><summary>Explore the rise of the synthetic workforce in 2026. Learn how digital employees, powered by generative AI and orchestration platforms, are transforming business operations, reducing costs, and challenging traditional human-AI collaboration.</summary><updated>2026-05-07T06:04:44+00:00</updated><published>2026-05-07T06:04:44+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry><entry><title>Comparative Prompting: How to Ask AI for Options, Trade-Offs, and Recommendations</title><link href="https://blackseedusa.com/comparative-prompting-how-to-ask-ai-for-options-trade-offs-and-recommendations"/><summary>Learn how comparative prompting transforms AI into a decision-support tool. Discover how to ask for options, trade-offs, and recommendations to make better business and technical choices.</summary><updated>2026-05-06T06:31:54+00:00</updated><published>2026-05-06T06:31:54+00:00</published><category>Artificial Intelligence</category><author><name>Kevin O'Shea</name><uri>https://blackseedusa.com/author/kevin-o-shea/</uri></author></entry></feed>