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I have personally seen 6 brands restart growth using the "hudson method" we are talking 5m a year brands to 100m a year brands. the steps: 1- seed hundreds of creators on tik tok small, new accounts, no one famous 2- pay them per video PLUS commission BUT heavily incentives them to post LOTS of videos bonuses for posting 100+ videos a month 3- take all the creative, load it into every ad channel you just solved creative bottlenecks and unlocked infinite ad angles 4- scale ad spend on EVERYTHING, while still paying the creators commission on the ad sales -- it isnt about tik tok shop sales. it isnt about gmv max. its all of it. you get free cpms on tik tok. you get unlimited content. and it jump starts the whole business more ads, more angles, more channels. this is named after the legendary founder of comfrt, hudson. all hail the ugc king.

Whether it’s existing consulting firms, new ones that emerge, FDEs from agent vendors, or new internal agent engineering roles, the amount of work that is going to be created to implement agents in enterprises will exceed anything we imagine today. The complexity of implementing agents in any existing organizations is very real. When I talk to large enterprises, as you move from a chat paradigm to agents that participate in meaningful workflows, there are a number of things they need to do. First, you have to get agents to be able to talk to your data securely across your systems. In many cases, enterprises have decades of legacy infrastructure that contain the valuable context for AI agents. That’s going to take a ton of work to go modernize and move to systems that work well with agents. Then, you need to ensure that you’ve implemented agents with the right access controls and entitlements, the right scopes to be safely used, and have ways of monitoring, logging, and securing the work that they do. Next, you need to actually document the processes in the organization in a way that agents can utilize for doing the work. You also need to figure out what the new workflow looks like when agents and people are working together on a process, and who steps in where. Just replicating the old workflow will mute the gains. Oh and you likely need to create evals for your top new end-state processes. Finally, you have to keep up with a rapidly changing set of best practices and architectural shifts happening in the agent space. While it’s fun for people to change their personal productivity tools on a dime, it’s 100X harder to do this in a business process. The speed of change is a blessing and a curse right now for anyone trying to keep a stable system design. All of this means that individuals and companies that develop expertise on the above set of components (and more) are going to be needed to help organizations actually implement agents at scale. This is also the rationale for vertical AI agents right now that can go in deep on a business domain and help bring automation to it. This is a huge opportunity right now whether you’re doing this internally or as an external business provider.

We are hiring: - engineers - product people - customer racing marketing strategists (seo/paid media/creative/ugc) - automation engineers - interns If you think the future of marketing is services + agents with forward deployed marketers customizing agents for clients, this is the spot for you. All must be super AI-pilled. If you love learning and love moving fast, apply by beating AI (below):