AI · alternatives · 2026

24 alternatives to Paramount – Human Evals of AI Customer Support

Hey HN, Hakim here from Fini (YC S22), a startup focused on providing automated customer support bots for enterprises that have a high volume of support requests. Today, one of the largest use cases of LLMs is for the purpose of automating support. As the space has evolved over the past year, there has subsequently been a need for evaluations of LLM outputs - and a sea of LLM Evals packages have been released. "LLM evals" refer to the evaluation of large language models, assessing how well these AI systems understand and generate human-like text. These packages have recently relied on…

Paramount is a human evaluation platform for AI customer support systems built by Fini, a startup specializing in automated support bots for enterprises. It addresses the limitations of automatic evaluations by… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Paramount – Human Evals of AI Customer Support launched in 2024; newer entries below may have overtaken it.

1
Paramount is an OSS package that captures expert feedback on LLM chats▲9
Hey HN, Hakim here from Fini (YC S22). We've seen first hand how AI chat projects pan out, and so have released an OSS library to ensure the industry gets more tools for improving outcomes. Many AI chat projects are scrapped due to persistent inaccuracies in LLM responses. Paramount is an open-source Python package designed to bridge the gap between LLM-generated and ideal responses by incorporating expert feedback directly into the evaluation process. It provides a robust framework for recording LLM function outputs (ground truth data) and facilitates agent evaluations, reducing the time to…
2024 · github.com · its alternatives →
2
Promptology▲232
AI prompt engineering business model guide
2023 · shushantlakhyani.gumroad.com · its alternatives →
3
Create LLM graders and run evals in JavaScript with one file▲28
Hi HN! Run it: OPENROUTER_API_KEY="sk" npx bff-eval --demo We built a tool to help people take LLM outputs and easily grade them / eval them to know how good an assistant response is. We've built a number of LLM apps, and while we could ship decent tech demos, we were disappointed with how they'd perform over time. We worked with a few companies who had the same problem, and found out scientifically building prompts and evals is far from a solved problem... writing these things feels more like directing a play than coding. Inspired by Anthropic's constitutional ai concepts, and amazing…
2025 · github.com · its alternatives →
4TL
Tiny LLMs – Browser-based private AI models for a wide array of tasks▲142
2023 · tinyllms.vercel.app · its alternatives →
5
Humans vs LLMs▲138
Hi HN, We just launched [AI Page Ready](https://aipageready.com) — a tool to check if your web pages are discoverable and understandable by AI tools like ChatGPT, Claude, Gemini, and Perplexity. It runs 40+ checks across six areas: Discoverability & Crawlability, Structured Data & Semantics, Content Quality, Answer-Ready Formatting, Accessibility & Rendering, and Deep AI LLM-specific checks. Would love your feedback — especially if you work in eCommerce, SEO, content, SaaS, or are trying to get traffic from AI tools. (Also open to ideas on what else to add to the tool!)
2025 · aipageready.com · its alternatives →
6
Confident AI▲86
all-in-one LLM evaluation platform
2024 · confident-ai.com · its alternatives →
7
I implemented evals metrics for LLMs that runs locally on your machine▲22
The LLM Evaluation Framework. Contribute to confident-ai/deepeval development by creating an account on GitHub.
2023 · github.com · its alternatives →
8
LLM Explorer▲152
Find your best LLM for a local inference
2023 · its alternatives →
9
LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG▲51
Hi, I was a corporate lawyer for many years working with a lot of financial services and insurance companies. In practicing law, I noticed there was a lot of repetition in the tasks I was working on even as a highly paid attorney that could be automated. I wanted to solve the problem of dealing with a lot information and data in a practical way, using AI. This motivated me to start AI Bloks/LLMWare with my husband, who had a deep background in software and is a very early adopter of AI. We have been on this journey with our open source project LLMWare for the past 4 months, producing a…
2024 · github.com · its alternatives →
10
Tiny LLMs▲94
Powerful browser-based AI models for a wide array of tasks
2023 · tinyllms.vercel.app · its alternatives →
11
Fini▲134
Enterprise-grade AI support that actually works
2025 · usefini.com · its alternatives →
12AP
Automatic prompt optimizer for LLMs▲126
2023 · promptperfect.jina.ai · its alternatives →
13
TuneTrain.ai▲79
Do you know that Small Language Models (SLM) can outperform LLMs if trained (fine-tuned) on domain specific datasets, like your companies knowledge base? The issue: fine-tuning a SLM usually requires a dataset of 10k - 100k records, which is huge. I created a platform for applying "human in the loop" augmentation techniques on your small dataset, so that you can start with maybe 100 records and build-up quickly huge datasets and launch a training without prior knowledge. I implemented 2 techniques, based on LLM distillation, however: more to come. HN, what Do you think? Do you see value in…
2025 · tunetrain.ai · its alternatives →
14
MIOSN▲96
We needed a better way to choose LLMs.
2025 · its alternatives →
15WW
We wrote a book on LLM system evals with a bear and fox▲11
Hey all! @sridatta and I wrote a book/zine called Forest Friends on system evals for LLM-driven apps. But it's a bit more whimsical, a bit more visual, and very much inspired by the meme of LLMs being a shoggoth polished into a smiley face with RLHF. LLM system evals are important as companies move past the flashy AI demos to reliable production apps. System evals keep coming up as the answer for what you "should do", but it's not exactly a standard part of the software engineering toolkit. So we pulled from @sridatta's seven years as a research engineer at Google, plus a ton of best…
2024 · its alternatives →
16
Promptly▲13
An AI Cost Optimization Infrastructure for LLM Applications
Mar 2026 · getpromptly.in · its alternatives →
17
Promptr for AI▲32
The context manager and skills library for marketing teams
Apr 2026 · promptr.ai · its alternatives →
18AA
AI Analytics for Humans▲6
Looking for feedback on how Props can make your life easier as an LLM application developer.
2024 · wwww.getprops.ai · its alternatives →
19
You know browser-use, here's human-use for LLMs to get info from humans▲7
We made human-use. Similar to how browser-use connects agents to the web, human-use connects agents to people all over the world in real-time using the Rapidata API. This allows the LLM to crowdsource human feedback and insights when it deems necessary. Free to use for anyone, you can enable your agent to use humans in real-time to: - Do preference research - Check for hallucinations - Capture sentiment - Get feedback - etc. Whatever you would want from humans. We expose certain parts of the Rapidata API to the agent through the MCP server framework. Additionally we provide a custom client.…
2025 · github.com · its alternatives →
20
Auto-generate hard evaluation data for LLMs▲14
Expert quality medical abstraction, powered by LLMs.
2024 · talc.ai · its alternatives →
21
HumanLayer – Human-in-the-Loop for AI Agents▲5
I found myself building a bunch of LLM-backed features that needed to use tool calling, and some of those tools involved doing things that were somewhat high stakes - communicating on my behalf or modifying shared / production data. one example - I wanted to replace a marketing website with a chatbot + vector DB loaded with the previous content, docs, and blog posts. Between hallucinations, missing knowledge base info, and the LLM generally writing like an psuedo-intellectual high schooler, I realized I couldn't trust it to communicate unsupervised with my website visitors. I needed a…
2024 · github.com · its alternatives →
22
DeepEval – Evaluation and Unit Testing for LLMs▲18
The LLM Evaluation Framework. Contribute to confident-ai/deepeval development by creating an account on GitHub.
2023 · github.com · its alternatives →
23
Harnessing LLMs for automated UI testing▲8
At testup.io we have been working for a while to bring artificial intelligence to the field of test automation. Just a few years ago, the primary challenge laid in accurately identifying UI elements following minor structural changes, such as updates to IDs or paths. The emergence of Large Language Models (LLMs) raised the bar for what it meant to be smart. Now, we anticipate the robot to do lots of things autonomously, such as retry in cases of unresponsiveness or handle minor error reports. A more challenging, but soon expected feature, would involve the test robot navigating your web shop…
2024 · github.com · its alternatives →
24
Prompt-Engineering Tool: AI-to-AI Testing for LLM▲37
Spelltest framework simulates conversations between AI ‘synthetic users' in an environment to test and refine LLM-based applications. It ensures your app converse with utmost accuracy and relevance. Post-chat, Spelltest assesses responses, providing qualitative and quantitative feedback on performance. Suitable for both chat and completion modes. When to use: - After modifying your prompt. - When your LLM provider updates. - As a CI step for you repo. All feedback and collaborations appreciated!
2023 · github.com · its alternatives →

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