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Adds testimonials
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Since we need them.
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skrawcz committed Dec 6, 2024
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54 changes: 54 additions & 0 deletions README.md
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Expand Up @@ -150,6 +150,60 @@ We imagine a world in which Burr and Hamilton lived in harmony and saw through t
built Burr as a _harness_ to handle state between executions of Hamilton DAGs (because DAGs don't have cycles),
but realized that it has a wide array of applications and decided to release it more broadly.

## Testimonials
<link rel="stylesheet" type="text/css" href="https://raw.githubusercontent.com/DAGWorks-Inc/burr/refs/heads/main/docs/_static/testimonials.css">
<div class="testimonial-container">
<div class="testimonial-card">
<div class="testimonial-content">
<p>"After evaluating several other obfuscating LLM frame-works, their elegant yet comprehensive state management solution proved to be the powerful answer to rolling out robots driven by AI decision making."</p>
<h4>Ashish Ghosh</h4>
<span>CTO, Peanut Robotics</span>
</div>
</div>
<div class="testimonial-card">
<div class="testimonial-content">
<p>"Of course, you can use it [LangChain], but whether it's really production-ready and improves the time from 'code-to-prod' [...], we've been doing LLM apps for two years, and the answer is no [...] All these 'all-in-one' libs suffer from this [...]. Honestly, take a look at Burr. Thank me later."</p>
<h4>Reddit User</h4>
<span>LocalLlama, Subreddit</span>
</div>
</div>
<div class="testimonial-card">
<div class="testimonial-content">
<p>"Using Burr is a no-brainer if you want to build a modular AI application. It is so easy to build with and I especially love their UI which makes debugging, a piece of cake. And the always ready to help team, is the cherry on top."</p>
<h4>Ishita</h4>
<span>Founder, Watto.ai</span>
</div>
</div>
<div class="testimonial-card">
<div class="testimonial-content">
<p>"I just came across Burr and I'm like WOW, this seems like you guys predicted this exact need when building this. No weird esoteric concepts just because it's AI."</p>
<h4>Matthew Rideout</h4>
<span>Staff Software Engineer, Paxton AI</span>
</div>
</div>
<div class="testimonial-card">
<div class="testimonial-content">
<p>"Burr's state management part is really helpful for creating state snapshots and build debugging, replaying and even building evaluation cases around that"</p>
<h4>Rinat Gareev</h4>
<span>Senior Solutions Architect, Provectus</span>
</div>
</div>
<div class="testimonial-card">
<div class="testimonial-content">
<p>"I have been using Burr over the past few months, and compared to many agentic LLM platforms out there (e.g. LangChain, CrewAi, AutoGen, Agency Swarm, etc), Burr provides a more robust framework for designing complex behaviors."</p>
<h4>Hadi Nayebi</h4>
<span>Co-founder, CognitiveGraphs</span>
</div>
</div>
<div class="testimonial-card">
<div class="testimonial-content">
<p>"Moving from LangChain to Burr was a game-changer! <br/>Time-Saving: It took me just a few hours to get started with Burr, compared to the days and weeks I spent trying to navigate LangChain. <br/>Cleaner Implementation: With Burr, I could finally have a cleaner, more sophisticated, and stable implementation. No more wrestling with complex codebases. <br/>Team Adoption: I pitched Burr to my teammates, and we pivoted our entire codebase to it. It's been a smooth ride ever since."</p>
<h4>Aditya K.</h4>
<span>Co-founder, TaskHuman</span>
</div>
</div>
</div>

## 🛣 Roadmap

While Burr is stable and well-tested, we have quite a few tools/features on our roadmap!
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1 change: 1 addition & 0 deletions docs/conf.py
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Expand Up @@ -34,6 +34,7 @@

html_css_files = [
"custom.css",
"testimonials.css",
]

html_title = "Burr"
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65 changes: 65 additions & 0 deletions docs/main.rst
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Expand Up @@ -25,3 +25,68 @@ We also ask that you:
- Report any bugs, issues, or feature requests via `GitHub Issues <https://github.com/DAGWorks-Inc/burr/issues>`_ or \
`GitHub Discussions <https://github.com/DAGWorks-Inc/burr/discussions>`_.
- Give us a star on `GitHub <https://github.com/dagworks-inc/burr>`_ if you like the project!


Testimonials
============

.. raw:: html

<link rel="stylesheet" type="text/css" href="_static/testimonials.css">
<div class="testimonial-container">
<div class="testimonial-card">
<div class="testimonial-content">
<p>"After evaluating several other obfuscating LLM frame-works, their elegant yet comprehensive state management solution proved to be the powerful answer to rolling out robots driven by AI decision making."</p>
<h4>Ashish Ghosh</h4>
<span>CTO, Peanut Robotics</span>
</div>
</div>

<div class="testimonial-card">
<div class="testimonial-content">
<p>"Of course, you can use it [LangChain], but whether it's really production-ready and improves the time from 'code-to-prod' [...], we've been doing LLM apps for two years, and the answer is no [...] All these 'all-in-one' libs suffer from this [...]. Honestly, take a look at Burr. Thank me later."</p>
<h4>Reddit User</h4>
<span>LocalLlama, Subreddit</span>
</div>
</div>

<div class="testimonial-card">
<div class="testimonial-content">
<p>"Using Burr is a no-brainer if you want to build a modular AI application. It is so easy to build with and I especially love their UI which makes debugging, a piece of cake. And the always ready to help team, is the cherry on top."</p>
<h4>Ishita</h4>
<span>Founder, Watto.ai</span>
</div>
</div>

<div class="testimonial-card">
<div class="testimonial-content">
<p>"I just came across Burr and I'm like WOW, this seems like you guys predicted this exact need when building this. No weird esoteric concepts just because it's AI."</p>
<h4>Matthew Rideout</h4>
<span>Staff Software Engineer, Paxton AI</span>
</div>
</div>

<div class="testimonial-card">
<div class="testimonial-content">
<p>"Burr's state management part is really helpful for creating state snapshots and build debugging, replaying and even building evaluation cases around that"</p>
<h4>Rinat Gareev</h4>
<span>Senior Solutions Architect, Provectus</span>
</div>
</div>

<div class="testimonial-card">
<div class="testimonial-content">
<p>"I have been using Burr over the past few months, and compared to many agentic LLM platforms out there (e.g. LangChain, CrewAi, AutoGen, Agency Swarm, etc), Burr provides a more robust framework for designing complex behaviors."</p>
<h4>Hadi Nayebi</h4>
<span>Co-founder, CognitiveGraphs</span>
</div>
</div>

<div class="testimonial-card">
<div class="testimonial-content">
<p>"Moving from LangChain to Burr was a game-changer! <br/>Time-Saving: It took me just a few hours to get started with Burr, compared to the days and weeks I spent trying to navigate LangChain. <br/>Cleaner Implementation: With Burr, I could finally have a cleaner, more sophisticated, and stable implementation. No more wrestling with complex codebases. <br/>Team Adoption: I pitched Burr to my teammates, and we pivoted our entire codebase to it. It's been a smooth ride ever since."</p>
<h4>Aditya K.</h4>
<span>Co-founder, TaskHuman</span>
</div>
</div>
</div>
76 changes: 76 additions & 0 deletions docs/make_testimonials.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,76 @@
card_template = """
<div class="testimonial-card">
<div class="testimonial-content">
<p>"{user_quote}"</p>
<h4>{user_name}</h4>
<span>{user_title}, {user_company}</span>
</div>
</div>"""

testimonials = [
{
"user_name": "Ashish Ghosh",
"user_title": "CTO",
"user_company": "Peanut Robotics",
"user_quote": "After evaluating several other obfuscating LLM frame-works, their elegant yet comprehensive state management "
"solution proved to be the powerful answer to rolling out robots driven by AI decision making.",
"image_link": "",
},
{
"user_name": "Reddit User",
"user_title": "LocalLlama",
"user_company": "Subreddit",
"user_quote": "Of course, you can use it [LangChain], but whether it's really production-ready and improves the time from 'code-to-prod' [...], "
"we've been doing LLM apps for two years, and the answer is no [...] All these 'all-in-one' libs suffer from this [...]. "
"Honestly, take a look at Burr. Thank me later.",
"image_link": "",
},
{
"user_name": "Ishita",
"user_title": "Founder",
"user_company": "Watto.ai",
"user_quote": "Using Burr is a no-brainer if you want to build a modular AI application. It is so easy to build "
"with and I especially love their UI which makes debugging, a piece of cake. And the always ready "
"to help team, is the cherry on top.",
"image_link": "",
},
{
"user_name": "Matthew Rideout",
"user_title": "Staff Software Engineer",
"user_company": "Paxton AI",
"user_quote": "I just came across Burr and I'm like WOW, this seems like you guys predicted this exact need when"
" building this. No weird esoteric concepts just because it's AI.",
"image_link": "",
},
{
"user_name": "Rinat Gareev",
"user_title": "Senior Solutions Architect",
"user_company": "Provectus",
"user_quote": "Burr's state management part is really helpful for creating state snapshots and build debugging, "
"replaying and even building evaluation cases around that",
"image_link": "",
},
{
"user_name": "Hadi Nayebi",
"user_title": "Co-founder",
"user_company": "CognitiveGraphs",
"user_quote": "I have been using Burr over the past few months, and compared to many agentic LLM platforms out "
"there (e.g. LangChain, CrewAi, AutoGen, Agency Swarm, etc), Burr provides a more robust framework"
" for designing complex behaviors.",
"image_link": "",
},
{
"user_name": "Aditya K.",
"user_title": "Co-founder",
"user_company": "TaskHuman",
"user_quote": "Moving from LangChain to Burr was a game-changer! "
"<br/>Time-Saving: It took me just a few hours to get started with Burr, compared to the days and weeks I spent trying to navigate LangChain. "
"<br/>Cleaner Implementation: With Burr, I could finally have a cleaner, more sophisticated, and stable implementation. No more wrestling with complex codebases. "
"<br/>Team Adoption: I pitched Burr to my teammates, and we pivoted our entire codebase to it. It's been a smooth ride ever since.",
"image_link": "",
},
]

# code to generate testimonials
for testimonial in testimonials:
print(card_template.format(**testimonial))

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