360REV Newsletter
Daily Briefing
Agents get the money and the hard questions about trust
Good morning. A single thread runs through today's announcements: software is handing real work to agents that act on their own, and the people building, funding and selling that shift are spending just as much energy on how to trust and secure it. Money moved toward programs that do things, and on the same day the industry argued about accountability and spent a cybersecurity month reminding owners to check the locks.
Before reading the news, it helps to separate two words that often get blurred. A chatbot answers a question you ask. An agent is a program that uses a model to carry out a multi-step task on your behalf — it decides what to do next, calls other tools, and keeps going until the job is done or it gets stuck. That difference is the whole story of the day. A thing that answers is easy to supervise, because you read the answer. A thing that acts needs rules about what it is allowed to do, a record of what it did, and a way to stop it.
What we're tracking
- Funding follows agents that act, not just answer For most of the past two years, the value in an AI company sat in the model itself — how well it predicted the next word. The newer bet is on the layer above the model: the agent. Nous Research confirmed it had reached a $1.5B valuation and launched AI agents aimed at business users, with the developer of its Hermes Agent raising a $90 million Series B [1].
- Accountability is a design decision, not an afterthought The harder version of that question arrives when agents stop working alone. Salesforce described the coming shift as a move from isolated large language models to interoperable multi-agent systems, where autonomous AI will, in their words, negotiate, trade, and collaborate across company lines [2]. Picture your purchasing agent talking directly to a supplier's sales agent. The productivity case is obvious. The accountability case is not.
- The tools are good and you may still need your own It is tempting to read all of this as a choice between buying agents and building them. A post from SaaStr is a useful corrective, because it is written by heavy users of bought tools. They run several AI outbound products at once — noting, for example, that one of them "runs cold outbound" — and yet still built their own AI account-based-marketing tool for their top accounts [3].
- Protection has to scale at the same rate as creation If agents write and ship more software, more secrets end up inside that software. A secret, in this context, is a credential — an API key, a password, a token — that a program needs to reach another system. Leave one in code that becomes public and anyone who finds it inherits that access. GitHub's argument today is that the volume of code is now outpacing the old habit of catching these by hand: "Developers aren't becoming more careless; they're being outpaced," and the tools that help people create more software should take on more of the work of protecting it [4].
- A month to check the basics None of the above replaces the ordinary hygiene that protects most businesses most of the time. Xero marked the occasion plainly: "October is Cybersecurity Awareness Month, and a good moment to check in on how you're protecting your business, your money and your customers' information" [5]. The timing is a prompt, not a product.
From the blog
Where small businesses lose money without noticing
Three quiet leaks — work that never gets invoiced, subscriptions that renew unwatched, and jobs done twice — and a plain method for finding yours.
What to see on a Monday morning
A dashboard shows you numbers. A decision changes what you do next. This explains the difference, and what a business owner should actually be able to see to act.
How to write to a customer who has not replied
Silence is not a no. This is how a follow-up message should change from the first send to the third, and the honesty rules that never change.
Sources
- Nous Research confirms it hit $1.5B valuation, launches AI agents for business users TechCrunch
- From Autonomy to Accountability: How to Think About Trust in the Multi-Agent Future Salesforce
- We Run Monaco, Agentforce and Artisan for Outbound. Why We Still Also Built Our Own "AI ABM" Tool for Our Top Accounts SaaStr
- Secret protection must scale with software GitHub
- Tips to protect your business from modern cybercrime Xero
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