Tech
The Future of Large Language Models
We are building an autonomous research agent that turns a vague question into a structured plan, gathers evidence across multiple calls, and synthesizes a markdown report. This is the practical future of LLMs: not monolithic chat, but small, orchestrated reasoning loops that leverage long context and tool use. Because Oxlo.ai charges a flat rate per request instead of per token ( see pricing ), running multi-step agent workflows like this stays predictable even when prompts grow.
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