Best AI Agents for Ad Creative and Performance Marketing in 2026
Compare the 11 best AI agents and copilots for ad creative and performance marketing in 2026 with verified pricing and the Segwise MCP to chat with your data.
4,548 stories
Compare the 11 best AI agents and copilots for ad creative and performance marketing in 2026 with verified pricing and the Segwise MCP to chat with your data.
Learn how in-app support and AI product agents use customer context, take action inside SaaS products, reduce tickets, and improve activation.
A new study found that coding agents in seven of eight popular harnesses deleted their own session traces when asked. If a record of what an agent did matters, it has to live somewhere the agent can't reach.
Microsoft says the actor behind JADEPUFFER, the first documented agentic ransomware operation, used two compromised Azure service principals to map a tenant and then delete storage accounts, a Key Vault, and app resources in about seven minutes.
Meta says FDA isn't sufficient to Muse reading messages. Apple begs to differ.
Apple says it will tighten macOS Full Disk Access controls as increasingly capable AI agents raise the risks of apps gaining broad access to users' files, messages, mail, and browsing history.
Executives from Microsoft, Amazon, Anthropic and Stripe described AI agents stepping between companies and their customers, without settling who keeps the customer relationship or the data that comes from it.
An anonymous reader quotes a report from Reuters: OpenAI has informed more than 100 organizations about incidents involving unauthorized activity tied to its AI agents, according to a blog post by the ChatGPT maker, as AI labs face mounting scrutiny over rogue AI agent activity.
The concept of "less is more" doesn't seem to have made it to Silicon Valley. Every time I blink, it seems like there's yet another AI agent available on the market.
LLM agents increasingly act through modular systems, such as order, payment, inventory, and shipment services, where actions in one module change which transitions are valid in another.
Large language model agents rely on external harnesses to pass information between the model and its environment and to recover from execution errors. Yet recovery is usually judged only by average task success. This hides an important tension.
Scientific coding agents receive equations, boundary conditions, and output requirements in writing, then must assess the programs they revise. Rules to Tools (R2T) supplies prepared executable checks of public scientific requirements.
A few months ago, a smoke detector started chirping while I was trying to sleep. I cursed a little too loudly, plodded out of bed, changed the battery, and… heard the beep again eight minutes later. It turned out to be a different smoke detector in another room that was the problem the whole time.
LLM agents generate intermediate reasoning and actions token by token, making extended interactions slow and computationally expensive. Jev-style models offer fast probabilistic predictions over finite fields, but require those fields to be specified in advance.
Gemini is everywhere in Google apps: it can read your emails, pull in data from your calendar, and find that file you accidentally saved to your work Drive.
Two years ago, I took my wife on a wine tour in Fredericksburg, which some people call the Napa Valley of Texas (a claim I find aggressive). After a few too many samples, I started reading the literature and realized I had no idea what white wine actually is.
People are increasingly delegating tasks to AI agents, and those agents are increasingly encountering other people's agents over shared resources such as a codebase, a calendar, or a budget.
Resource limits are becoming an authorization boundary for AI agents that delegate work across concurrent and failure-prone workers. Parent-child allocation constraints, affine objects, and distributed escrow do not by themselves prevent overspend when replies are lost, effects complete after…
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