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Alternatives

Products that do what AHRPLY does

A hard ceiling per agent, enforced before the call goes out

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    GROOVY73

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    Orite76

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    The authorization layer for AI agent spending

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  20. 20SH

    Hi HN, we’re the cofounders of Lago:an AI-agent powered Chrome extension that becomes every founder’s best friend when accounting season hits. Well automates supplier invoice collection and pipes the data directly into your accounting tools, ERP, or dashboards — with zero effort. Why We’re Building Well: Automating the Missing Half of Payments Our website is at https://wellapp.ai/ and our Github is here: https://github.com/WellApp-ai/well. --- Our Background We’re a team of infrastructure builders with deep roots in European fintech. Over the last decade,…

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  21. 21LC

    Prompt instructions like 'never do X' don't hold up in production. LLMs ignore them when context gets long or users push hard. Limits sits between your agent and the real world. Every action — database writes, API calls, refunds — gets intercepted and checked against your rules before it executes. Deterministically. No LLM involved in enforcement. Three modes: Conditions: hard rules on structured data Guideance: validate LLM output before it reaches the user and give the agent chance to reason and retry Guardrails: scan for PII, toxicity, prompt injection etc One line to integrate: npm…

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  22. 22

    Stop paying an LLM to do a function's job.

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  23. 23AA

    Hey HN, Staff Engineer at Ably here. Over the past few months I've been speaking to engineers building AI assistants, copilots, and agentic workflows (over 40 companies at this point), with particular focus on cloud-hosted agents. I expected the hard problems to be in model selection, prompt engineering, and orchestration. Instead, the same infrastructure challenges kept coming up: realtime sync between agents and end clients is surprisingly painful to get right. - Managing and scaling WebSocket or SSE connections between agents and clients - Buffering messages server-side and implementing…

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  24. 24

    Four AI employees that create, protect & expand revenue.

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