marketing engineering
30 articles about marketing engineering in AI news
Profound Launches $40K Marketing Engineering Hackathon in NYC
Profound hosts $40K Marketing Engineering Hackathon for 50 builders on June 6th in NYC, judged by Ramp, Stripe, and MongoDB.
Shopify Engineering Teases 'Autoresearch' Beyond Model Training in 2026 Preview
Shopify Engineering has previewed a 2026 perspective suggesting 'autoresearch'—automated research processes—will have applications extending beyond just training AI models. This signals a broader operational automation strategy for the e-commerce giant.
Harness Engineering for AI Agents: Building Production-Ready Systems That Don’t Break
A technical guide on 'Harness Engineering'—a systematic approach to building reliable, production-ready AI agents that move beyond impressive demos. This addresses the critical industry gap where most agent pilots fail to reach deployment.
A Comparative Guide to LLM Customization Strategies: Prompt Engineering, RAG, and Fine-Tuning
An overview of the three primary methods for customizing Large Language Models—Prompt Engineering, Retrieval-Augmented Generation (RAG), and Fine-Tuning—detailing their respective strengths, costs, and ideal use cases. This framework is essential for AI teams deciding how to tailor foundational models to specific business needs.
Inside Claude Code’s Leaked Source: A 512,000-Line Blueprint for AI Agent Engineering
A misconfigured npm publish exposed ~512,000 lines of Claude Code's TypeScript source, detailing a production-ready AI agent system with background operation, long-horizon planning, and multi-agent orchestration. This leak provides an unprecedented look at how a leading AI company engineers complex agentic systems at scale.
Profound's $96M Bet: How AI Chatbots Are Rewriting the Rules of Digital Marketing
AI startup Profound raised $96 million at a $1 billion valuation to help brands optimize for AI-generated answers rather than traditional search results. The funding signals a major shift as marketers prepare for AI chatbots to replace conventional search engines.
The Agency: 147 Open Source AI Agents Hit 50K GitHub Stars in 2 Weeks
The Agency is an open source repository with 147 specialized AI agents across 12 divisions (engineering, design, marketing, etc.) that hit 50K GitHub stars in under two weeks. It provides one-command install for tools like Claude Code and Cursor, with full modding support.
Building a Multimodal Vector Search Platform for Product Catalogs
Insider Engineering shares practical lessons from building a multimodal vector search platform for product catalogs, covering multitenancy, GPU economics, and infrastructure surprises. The post provides actionable insights for retail AI teams considering similar systems.
Pioneer Agent: A Closed-Loop System for Automating Small Language Model
Researchers present Pioneer Agent, a system that automates the adaptation of small language models to specific tasks. It handles data curation, failure diagnosis, and iterative training, showing significant performance gains in benchmarks and production-style deployments. This addresses a major engineering bottleneck for deploying efficient, specialized AI.
A Practical Guide to Fine-Tuning Open-Source LLMs for AI Agents
This Portuguese-language Medium article is Part 2 of a series on LLM engineering for AI agents. It provides a hands-on guide to fine-tuning an open-source model, building on a foundation of clean data and established baselines from Part 1.
AI-Powered 'Vibe-Coded' Companies Emerge as AI Collapses Traditional Staffing Models
Entrepreneur Matthew Gallagher used AI to automate core business functions—coding, marketing, support—allowing his company to scale without building a large managerial team. This demonstrates AI's current strength: drastically reducing coordination costs to enable solo or small teams to execute like corporations.
The Single-Agent Sweet Spot: A Pragmatic Guide to AI Architecture Decisions
A co-published article provides a framework to avoid overengineering AI systems by clarifying the agent vs. workflow spectrum. It argues the 'single agent with tools' is often the optimal solution for dynamic tasks, while predictable tasks should use simple workflows. This is crucial for building reliable, maintainable production systems.
The Agentic AI Reality Check: 88% Never Reach Production, Here's How to Spot the Fakes
A new analysis reveals widespread 'agent washing' in AI, with most systems labeled as agents being rebranded chatbots or automation scripts. The article provides a 5-point checklist to distinguish real, production-ready agents from marketing hype, crucial for retail leaders evaluating AI investments.
Former Goldman Sachs Exec Raoul Pal: Agentic AI Will 'Eat' Traditional Software by Replicating Products in Minutes
Raoul Pal argues that agentic AI systems can reproduce, optimize, and redeploy traditional software products in minutes, creating existential competition for SaaS businesses. He describes a future where AI can replicate a competitor's entire website—code, branding, marketing—in three minutes.
How I Built a Production AI Query Engine on 28 Tables — And Why I Used Both Text-to-SQL and Function Calling
A detailed case study on building a secure, production-grade AI query engine for an affiliate marketing ERP. The key innovation is a hybrid architecture using Text-to-SQL for complex analytics and MCP-based function calling for actions, secured by a 3-layer AST validator.
From Browsing History to Personalized Emails: Transformer-Based Product Recommendations
A technical article outlines a transformer-based system for generating personalized product recommendations from user browsing data, directly applicable to retail and luxury e-commerce for enhancing email marketing and on-site personalization.
Strategic AI Agents: Meta-Reinforcement Learning for Dynamic Retail Environments
MAGE introduces meta-RL to create LLM agents that strategically explore and exploit in changing environments. For retail, this enables adaptive pricing, inventory, and marketing systems that learn from continuous feedback without constant retraining.
Gucci's Generative AI Experiment: A Strategic Blueprint for Luxury Brand Evolution
Gucci's partnership with Google Cloud to deploy generative AI for content creation represents a pivotal shift in luxury marketing. This move balances creative control with scalable, personalized storytelling, offering a model for the industry to modernize client engagement without diluting brand equity.
From Monolithic Code to AI Orchestras: How Agentic Systems Are Revolutionizing Retail Personalization
Spotify's shift from tangled recommendation code to a team of specialized AI agents offers a blueprint for luxury retail. This modular approach enables dynamic, multi-faceted personalization across clienteling, merchandising, and marketing, replacing rigid systems with adaptive intelligence.
Beyond the Hype: The New Open Benchmark Putting Every AI Code Review Tool to the Test
A new open benchmarking platform allows developers to test their custom AI code review bots against eight leading commercial tools using real-world data. This transparent approach moves beyond marketing claims to provide objective performance comparisons.
LLM Gateway Moves That Cut Multi-Provider AI Bills 40–85%
Towards AI details an LLM gateway routing layer that cuts multi-provider AI costs by 40–85%, with pricing from $0.10 to $30 per million tokens. It matters for retail teams managing escalating AI spend.
Claude Code Turns Are 75% Reading, 219 Sessions Show
Red Hat's analysis of 219 Claude Code sessions shows median turns are ~75% reading. This reframes optimization toward context management.
Helena: Self-Improving AI Marketer Claims $10M in Sales
Enrich Labs claims Helena, a self-improving AI marketer, generated $10M in sales across 20,000 businesses. Claims lack verification or technical detail.
How Major Retailers Use AI to Reimagine the Customer Journey
BizTech Magazine reports that retailers like Kering and Nike use Google Cloud AI to personalize customer journeys, lifting revenue 10-30%. This matters as AI transforms omnichannel retail with real-time data and generative models.
BioMatrix: A single decoder reads proteins, molecules, language on 304B tokens
BioMatrix, a decoder-only biological foundation model, achieves SOTA on 77 of 80 tasks after training on 304B tokens of sequences, structures, and language.
Anthropic Study: Senior Engineers Beat Juniors With AI by 31%
Anthropic study: senior engineers achieve 31% higher success rate with Claude Code than juniors, challenging the democratization narrative.
Cerebras Claims Performance Parity With Nvidia H100 on AI Training
Cerebras claims wafer-scale chips match Nvidia H100 on AI training performance per watt, challenging Nvidia's dominance.
Mytheresa is using AI to find future VIPs
Mytheresa applies AI to predict future VIPs from early customer data, using browsing and purchase signals to drive personalization. This matters for luxury e-commerce as it shifts retention from reactive to proactive.
UniSound U2 Cuts Token Use 25%, Joins Top Chinese LLM Tier
UniSound's U2 foundation model cuts token consumption by 25% while matching top Chinese LLM performance, entering the top tier with an efficiency-first design.
New Thesis Exposes Critical Flaws in Recommender System Fairness Metrics —
This thesis systematically analyzes offline fairness evaluation measures for recommender systems, revealing flaws in interpretability, expressiveness, and applicability. It proposes novel evaluation approaches and practical guidelines for selecting appropriate measures, directly addressing the confusion caused by un-validated metrics.