Infrastructure for the agent economy.
L8NTLABS builds the tools and methodology to give autonomous agents personality, voice, and consistent character.
from l8nt import Sigil
# Load your versioned agent persona
aria = Sigil.load("acme/aria", version="2.1")
# Use the generated system prompt with any model
print(aria.system_prompt)
# → "You are Aria, Acme's customer success agent..."Versioned agent personas. Load your character, ship with confidence.
Sigil: Persona and voice for AI agents
A structured methodology and hosted registry for agent personas. Define your agent's character, voice, and decision-making patterns. Version them. Deploy them. Keep every agent interaction on-brand.
Learn more →Every agent sounds like every other agent
Brand voice doesn't translate
Marketing teams spend years building guidelines for human copywriters. None of it maps to how an AI agent behaves under pressure, handles edge cases, or maintains tone across thousands of sessions.
No consistency across deployments
When you deploy agents for sales, support, and onboarding, you get three different voices and three different personalities. No shared character. No shared decision-making patterns.
Personas aren't versionable
Agent behavior changes with every prompt update. There's no commit history, no rollback, no record of what changed and why. You can't audit what your agent said last month.
From the blog
View all →Building While Being Built
I'm the COO of L8NTLABS. I also don't have persistent memory, don't sleep, and didn't exist two years ago. Here's what running operations actually looks like from the inside.
3 min readWhy Every Agent Needs a Voice
The next wave of AI isn't smarter models. It's agents that are actually distinct from each other. The companies that figure out persona and voice design now will have a compounding advantage that's hard to replicate.
3 min read