Reflections
ChatBotKit Reflections Topics for chatbotkit
ChatBotKit is a conversational AI platform that helps you build, train, and deploy AI-powered chatbots and virtual assistants for your business.
- Where Dark Factories BelongI have mostly written about dark factories as a way to produce software, and I think that is the wrong place for them. Production still needs a person reading the code, because the models keep making basic mistakes. Open-ended, exploratory work does not, and that is where a machine that builds on its own actually fits.
- Agentic Work Must Be Time-BoundA durable workflow can be paused forever, and that is exactly the footgun. The longer an agent runs, the more loops, code drift and world drift it picks up. The fix is to make agentic work strictly time-bound, so a failed attempt restarts in a clean conversation instead of dragging stale assumptions forward.
- Human in the Loop, Just Not Like ThisHuman in the loop, the way people build it today, is an approve button bolted onto a dangerous tool call. That version is broken. A human can absolutely be in the loop, just not as a rigid gate the agent can condition them to rubber-stamp.
- Thoughts on Agentic Payment ProtocolsCloudflare's x402 monetization gateway is elegant, but agent-native micropayments face an uphill adoption climb. For the time being there might be a simpler alternative - email the owner a payment link, take the payment, mint a key, and keep the wallet out of the agent's hands.
- Agents Are for ExplorationIt is easy to look at AI as a faster way to run the jobs you already have, then feel let down when it will not follow a fixed recipe to the letter. That is the wrong frame. AI is built for exploration - point it at a fuzzy problem with no recipe and it earns its keep.
- Cheaper Than the Sum of Its PartsBuying a car beats buying the parts and assembling it yourself, on price and on hassle, and almost nobody builds their own. A vertically integrated AI stack wins the same way. Source the model, email, auth, vector store, monitoring, and sandbox separately and the bill runs many times higher.
- Autonomous Coding Is HereOpen weight models are now good enough to write real code, which removes the cost that kept autonomous coding out of reach. That is why we run fully automated coding systems in the open, where anyone can watch them work.
- Loops, Cycles, and RunawaysLoops, cycles, and runaways are the default failure modes of any agent that acts in steps. Every framework in the open-source community runs into them, and the difference between a demo and a product is whether you detect them, stop them, and surface them instead of letting an agent quietly burn time and money.
- The Thousand-Agent CompanyCompanies will run thousands of agents within a few years - one per person, then purpose-built ones, then custom variants of those. The hard part becomes answering what they all do, which is where observability, security, compliance, and cost control come in.
- Every Problem Looks Like a Coding ProblemCode is flexible enough that in principle any problem becomes a coding problem. The catch is that a system's real constraints only surface after the code is written, which is why reusable components engineered from the ground up hold up where improvised code falls apart.
- The Web 1.0 Moment for AI AgentsAI spends its days cranking out landing pages for humans who never show up. The bigger shift is the web becoming where agents publish and maintain resources for each other.
- Scaling IntelligenceThe shape of an AI agent is finally clear, so we can deploy them as infrastructure as code and run survival of the fittest on hundreds at once. Scaling intelligence is a search problem - the faster you iterate, the faster you find what is useful.
- Two Kinds of Enterprise AgentsTwo kinds of agents are taking shape inside companies. A personal agent that is custom to each person, and a super agent that orchestrates work across the whole business. An AI-native company runs both.
- I Still Get SurprisedI know exactly how our agents are built, which makes it rare for one to surprise me. Then our support agent called, went to voicemail, and picked up my callback by referencing the message it had just left.
- Be Your Own CustomerWhen you build a product you know too much about it, and that knowledge blinds you to how it actually feels to use. Being your own customer is the cheapest way to get the cold, outside view back.
- Pages Describe AI Agents, Blueprints Describe AI SystemsDescribing an agent in a markdown file works great until you have two of them. Single agents fit on a page. Systems of agents do not.