People working with people, people working with agents, and agents passing work to other agents all count as collaboration, and Optimizely's Agent Platform is built for all three.
Read more here: https://t.co/OFIWCp3GWh
Everyone’s asking the same question about AI at work: what can it actually see? With Mark, Optimizely's AI, the answer is only what you can see yourself.
→ Mark logs in with your own credentials
→ Every action it takes is logged, and you can read that log yourself
→ There’s no browser takeover
→ IT can switch off any tool before your team ever sees it
→ If you want to bring your own MCP servers, they follow the same rules
Announcing the world's first benchmark for marketing, brought to you by Optimizely. Mark-Bench is a living evaluation benchmark for AI on real marketing work. Real briefs, real source files, real output formats, scored against rubrics built by people who do the job. We've been working on this for a while and going public with the current version.
Token prices dropped 50x in two years. Enterprise AI bills keep climbing anyway.
Jevons paradox. Cheaper tokens mean more usage, not lower spend.
Waiting for prices to fall is not a cost strategy.
Instinct is hot. But Optimizely is hotter for the enterprise. We just launched our version of AI assistants, except they are agentic marketers and ready to work alongside your human marketing team. We have them in place at dozens of customers. https://t.co/2BOK3fmdfn
"Employees on day one are given a computer, credentials, and access to the systems and information they'll need to do their job....Things are no different with virtual teammates."
Our SVP of Product Kevin Li in @FastCompany by @BrettFarmiloe: https://t.co/PBnOF3hrSr
We tested Jev against our production skill selection process this weekend. The results pretty stunning. Speed: Jev was faster at every catalog size, by 15% to 36%. Cost: 7x to 20x cheaper.
When I read the Jev announcement I thought it was just a better and faster LLM. But...