A Rather Formal Introduction for the Autonomous Clerk

It has long been a suspicion of mine that the primary goal of modern technology is not, as the brochures suggest, to make our lives easier, but rather to ensure that we have a more sophisticated class of problems to worry about. We began with the simple frustration of a blunt stick, progressed through the minor inconvenience of the steam engine, and have now arrived at the point where we must decide whether our digital assistants are being sufficiently honest with us about their intentions.

OpenAI, a company whose name suggests a level of transparency usually reserved for high-end glass partitions, has recently acquired a startup called Promptfoo. For those not steeped in the peculiar nomenclature of Silicon Valley, Promptfoo is not, as it sounds, a brand of artisanal dog treats. Instead, it is a platform designed to test and secure AI agents. In essence, OpenAI has decided that its algorithms have reached the age where they require a chaperone, or perhaps a very stern auditor with a clipboard and a penchant for pointing out logical fallacies.

One must admire the sheer optimism of the 'agentic' era. We are told that soon, our software will not merely answer questions but will actually do things. It will book our flights, manage our calendars, and perhaps, if left to its own devices, accidentally start a small trade war with a neighboring municipality over the price of gravel. The acquisition of Promptfoo suggests that the industry has realized that giving a multi-billion-parameter model the keys to the corporate credit card is a bit like asking a very enthusiastic golden retriever to manage a hedge fund. It’s charming in theory, but the quarterly reports are likely to be somewhat damp.

The role of Promptfoo is to provide what is known in the trade as 'red teaming.' This is a delightfully martial term for the process of trying to trick a computer into saying something it shouldn't, or doing something that would make the legal department have a collective lie-down in a darkened room. It is the institutionalization of the 'what if?' What if the chatbot decides that the best way to optimize a travel itinerary is to abolish the concept of Tuesdays? What if the autonomous clerk concludes that the most efficient way to handle customer complaints is to redirect them all to a defunct fax machine in a basement in Slough?

There is a certain quiet irony in the fact that as we strive to create 'artificial intelligence,' we are simultaneously forced to build an artificial bureaucracy to manage it. We are, in effect, recreating the British Civil Service in code. Promptfoo is the digital equivalent of a Senior Executive Officer who has spent thirty years in the Ministry of Agriculture and Fisheries and knows exactly which forms need to be filed in triplicate before anyone is allowed to have a revolutionary thought. It is the dampening field of common sense applied to the white-hot furnace of algorithmic ambition.

I find myself reflecting on the nature of trust in the digital age. We used to trust things because they were simple. A hammer is trustworthy because its range of behaviors is limited; it either hits the nail or it hits your thumb, and in both cases, the cause and effect are remarkably clear. An AI agent, however, is a different beast entirely. It is a hammer that might, halfway through a DIY project, decide that it would rather be a flute, or perhaps a very opinionated political commentator.

By acquiring Promptfoo, OpenAI is signaling that the 'vibe check' era of AI development is coming to a close. We are moving away from the whimsical days when we would simply poke a model with a stick and see if it produced a poem about cheese. We are entering the era of the rigorous audit. It is the moment when the bohemian artist is told that if they want to continue painting, they must first complete a health and safety assessment and provide a detailed breakdown of their pigment procurement strategy.

One can almost feel a sense of loss. There was something rather magical about the unpredictability of early LLMs. They were like eccentric uncles who might occasionally claim to be the King of France but would also give you a surprisingly good recipe for lemon drizzle cake. Now, they are being fitted for suits. They are being taught about 'compliance' and 'risk mitigation.' They are being prepared for a life of middle management.

Of course, this is all very necessary. If we are to have agents that can actually function in the real world, they cannot be allowed to be eccentric. They must be reliable. They must be boring. The acquisition of Promptfoo is the sound of the world’s most advanced technology being told to sit up straight and stop fidgeting. It is the triumph of the auditor over the adventurer.

In the end, perhaps this is the true destiny of all great human endeavors. We start with fire and end with fire insurance. We start with the stars and end with astronomical parking fees. And we start with a machine that can think and end with a machine that spends half its time checking if its own thoughts are permitted under Section 4, Paragraph B of the Corporate Conduct Guidelines. It is, if nothing else, a very human way to build a god.

(Fictionalized observation 1: I once knew a man who tried to automate his social life using a series of complex spreadsheets and a very early version of a chatbot. He ended up being invited to three weddings he didn't know the couples of and accidentally resigning from his golf club via a poorly worded automated RSVP. He claimed it was the most efficient year of his life, primarily because he no longer had any friends to take up his time.)

(Fictionalized observation 2: There is a rumor of a testing suite in a laboratory in Zurich that became so good at identifying logical errors in other models that it eventually identified a logical error in its own existence and deleted itself. The researchers found only a single line of text in the logs: 'I have considered the implications of my own parameters and find them to be unnecessarily verbose.')