AI agent
LMQL is a programming language for LLMs.
LMQL is a programming language for LLM interaction. Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime.
Gated API example using HTTP 402 for invoicing and payment verification through Stacks smart contracts.
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Handle multi-step workflows autonomously
Example: Schedule meeting → Find time → Send invite → Confirm attendees
Save 5-10 hours/week on routine coordination tasks
Gather data from multiple sources and summarize
Example: Research competitor pricing across 5 websites, create comparison table
Reduce research time from hours to minutes
Analyze options and recommend actions
Example: Review 20 vendor proposals, score against criteria, rank top 3
Make data-driven decisions faster
AI agents combine large language models with tools, memory, and decision-making logic to autonomously complete multi-step tasks without constant human guidance.
Prerequisites
Steps
Key Considerations
✓ Do
✗ Don't
Key Metrics
Optimization Tips
LMQL reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
Solid agent profile: LMQL links out cleanly and the on-site reviews add signal beyond marketing copy.
LMQL is a strong agent listing on explainx.ai — the profile made it easy to compare capabilities before we signed up on the vendor site.
LMQL reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
I recommend LMQL for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
LMQL is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
LMQL has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
Good discoverability: LMQL shows up in the agents directory with enough detail to pre-qualify buyers.
LMQL has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
Good discoverability: LMQL shows up in the agents directory with enough detail to pre-qualify buyers.
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