0:00 A new tool just hit Product Hunt that lets you build an AI workflow where one step is on a tight leash, and the very next step is allowed to run completely wild.0:10 Yesterday, we were talking about how to spot real innovation versus just another wrapper.0:16 Well, THIS is what a real solution looks like.0:18 It's called Timbal AI, and it just took Launch of the Day with one hundred forty-seven upvotes.0:25 Okay, so here's the lay of the land for today, July ninth.0:28 Three launches matter.0:30 First, that leader, Timbal AI.0:32 It's a unified stack to build agents and apps.0:35 The core idea is what they call ACE — basically, customizable guardrails on a per-step basis.0:40 That's the part that's new.0:42 Second, a tool called Auriko.0:44 It's a trading desk, but for your LLM API calls.0:47 If you've ever watched your OpenAI or Anthropic bill spiral out of control, you immediately get why this is a real business.0:55 It's for managing and optimizing those calls, which is a surprisingly hard problem at scale.1:01 And third, Perfai Security.1:03 This one's more niche, but it's sharp.1:05 It’s a one-prompt solution to find and fix live vulnerabilities in Vibe Apps.1:10 Fast, actionable, and it doesn't require a whole security team to get an answer.1:15 It's a tool for builders who are shipping fast and need to check their work.1:20 All three are about giving developers more control.1:23 Not just using AI, but engineering with it.1:26 So let's go back to Timbal AI, because that's the one that really changes the game.1:31 Here’s the problem it solves.1:33 You’re building a process.1:35 Part of it needs to be creative — maybe some open-ended research or classifying ambiguous user feedback.1:42 For that, you want the AI to be loose, exploratory.1:45 You want it to connect dots you didn't see.1:48 But then, the very next step is to draft a customer-facing email based on that research, or to approve a payment.1:55 For THAT step, you want the AI to be absolutely rigid.1:58 No creativity.1:59 No exploring.2:00 You want it to follow a template, stick to the facts, and NEVER go off script.2:05 Until now, you couldn't really do both in one system.2:08 You had one global setting for the whole model.2:11 You either dumbed it down for safety, or you accepted the risk of it going rogue.2:17 It was a terrible trade-off.2:18 Timbal's whole pitch is that you don't have to make that trade anymore.2:23 Their team put it perfectly.2:25 They said, "ACE isn't one global switch, it's set per step...2:29 so you can tighten it where you want strict guardrails...2:32 and loosen it where you actually want the model to explore." That is a fundamental shift in how you can build with these things.2:40 It moves AI from being this unpredictable magic box into a component you can actually engineer with precision.2:47 Now, here's the part that gives me confidence in the team.2:51 They immediately followed up by saying, "The harder part is knowing where to draw that line for a given use case, we're still learning from real usage what the right defaults should be." That's not marketing speak.3:05 That's a builder talking to another builder.3:08 It shows they understand the real-world messiness of the problem.3:12 They're not selling a perfect, finished object; they're shipping a powerful tool and are ready to refine it with the community.3:20 This is the kind of detail that separates a real product from a demo.3:24 It’s the same discipline you see in Auriko, the trading desk for API calls.3:29 That’s not a glamorous idea, but it solves a painful, expensive problem.3:34 It’s infrastructure.3:35 The only risk for tools this powerful is pricing clarity.3:39 We've seen it before.3:40 A user on a similar tool said it best: "The multiplayer mode you describe is game-changing...3:46 just spend some time letting folks know what they're getting for their money, please." That's the next hurdle for Timbal.3:54 They've solved the technical problem.3:56 Now they have to solve the business one.3:59 What we saw today wasn't just a random collection of new apps.4:03 It was a signal.4:04 The tools are shifting from toys to production systems.4:07 The work is moving from just prompting a model to actually building a reliable, controllable, and cost-effective machine.4:15 The magic trick is over.4:16 Now the real engineering begins.
