Logic - Build and operate fleets of agents
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Shipping a real AI agent can mean weeks of wiring up prompts, retries, eval harnesses, and logging before you see production. Logic solves that.
You write a structured spec that describes what the agent should do, and Logic gives you a fully managed agent, with evals, observability, model routing and more built in, ready to be called from anywhere.
Replies
Humalike
Spec-driven agents with versioned rollback is rare. How much of the IFBench gain comes from the harness vs the synthetic test generation step?
Logic, Inc.
@mcarmonas Thanks, Martí. The short answer is we have not broken the gain out into a clean harness-versus-synthetic-test percentage split. The harness gives us the reproducible execution, typed validation, versioning, and rollback layer, but the synthetic generation step is doing real work too, because it creates scenario-based tests from the spec and pushes on edge cases people usually miss. In practice the IFBench lift comes from the system working together, not one isolated trick.
There's more detail here in our recent blog post: https://logic.inc/resources/logic-scores-83-3-on-ifbench-beating-every-model-on-the-public-leaderboard
UXPin Merge
Really like this direction. Turning plain English specs into production-ready agents is a big unlock. How are teams typically structuring their specs to keep outputs consistent?
Logic, Inc.
@uxpinjack The teams getting the most consistent outputs usually keep their specs very explicit: clear inputs, a strict output shape, direct decision rules, and the edge cases they care about. We’ve also found it helps to keep shared reference material in the knowledge library instead of stuffing it into every spec, then use tests to catch drift before publish. And thank you, that’s exactly the unlock we’re going after.
Looks awesome. Getting an agent to actually work in production is a whole different challenge vs vibe coding automations, and this feels like it removes a lot of that headache. Excited to try this as a PM.
Logic, Inc.
@robmcarpenter, we appreciate that. We built Logic for exactly that jump from a cool demo to something a team can actually ship and sleep well at night knowing it'll just keep working.
Finally, a 'batteries included' harness for agents🔋 Handling 130+ document formats and SOC 2 compliance out of the box makes this an easy choice for enterprise use cases. Clean work. @jess_garms
a 6-point gain over Gemini 3.1 Pro on IFBench is actually wild. It’s one thing to have a cool UI, but proving that the harness itself makes the model more reliable is a huge differentiator. Massive props to Steve and Jess for focusing on precision rather than just vibe-coding.
Cue
This is a big unlock for teams shipping agents. Writing a spec instead of stitching together prompts, retries, and eval harnesses sounds like a huge time saver. Any plans for letting teams share or remix specs across orgs?