This is fascinating! 🚀 The ability to create agents for data processing without API keys is impressive. How do you handle updates or changes in the APIs of integrated services like Snowflake or Postgres? 📊 Eager to see how it performs!
@jaredl Updates or changes to APIs do not impact deployed agents (unless, of course, the update is a breaking change for prior APIs). We do offer a clean upgrade path to adopt updates or changes if you want.
This is very cool! I'm gonna try building an agent that researches free trial signups for my product based on some specific parameters and send me slack notifications for the signups I should be focused on to convert them to paid customers!
Ohhh! String.com is a total lifesaver! how come i didn't stumble on this earlier? so hyped rn!
Tried tools like LangChain before—they work, but String.com? way simpler. no - code builders feel clunky next to this. string just gets the agent built in seconds, lol. it’s like langchain on espresso, way more efficient.
gonna use it to build an agent that monitors our team’s notion docs and auto - creates jira tickets. no more manual tracking headaches! and later, test web scraping agents for market research. finally, a tool that turns “what if” prompts into real, working agents without the setup mess.
congrats to the string.com team! this is gonna make so many devs and product folks skip the usual agent - building pain. let’s prompt - build some magic.
Just tried to get an email alert for a keyword on hacker news, worked like a charm!
But I haven't seen any indication on pricing, my test used 1.2m of the available 4m tokens. So what does it cost, and is there a coupon for early adopters :-)
@moaz_ahmad We have found ChatGPT and Claude are quite good at helping with prompts. Additionally, we do plan to add a prompt generator to help users out.
Congrats on the launch! 👏 I’ve been exploring tools like Notion and Slite for collaborative docs — curious how String stands out in real-time collaboration or AI features.
@ashmil_hussain Real time collaboration with other agent creators? I don't think the AI features are comparable today for building agents as that really isn't their focus.
@sumitgoel we're definitely thinking about how String can work with your own AI agent. Please book some time on my calendar if you want to discuss https://calendly.com/pipedream/30-minute-meeting -- I'd love to learn more about your use case. We also launched https://pipedream.com/connect so your agents can use 2700+ apps and 10k+ tools on behalf of your users (they don't need their own own Pipedream accounts).
I used it to create a part of automated code generation for @Baloon.dev . didnt have to go through GPT to add flows like in n8n. and got a boilerplate from prompts - which is good and time saver.
@pravinsavkar Hey Pravin, is there any way to convert this to n8n's workflow? Reason - I think I can build pretty good flows using string, but I also want to publish my product on n8n marketplace so that I can sell. is it possible ?
Congratulations team! I have been a loyal user of Pipedream for a couple of dreams. Awesome to see this new tool, which make the workflow building process even easier!
@woanwoei_fileai thanks for the feedback! You can definitely iterate with String and go well beyond simple tasks. Give it a shot and let us know how it goes!
Tried setting up an email alert for LinkedIn posts that resonate with my target market and it took less than five minutes. Love how quick and easy it was!
I started the day screaming into a paper bag in frustration with a backend workflow tool. Found this. Spent 30 minutes building and testing a flow and threw the paper bag away. Brilliant.
@scott_sager that's exactly why we built String! Once you see the magic you don't want to go back! Let us know how it goes and if you have any other feedback!
One of the more useful ways to build something real that works with a whole bunch of existing applications. Far, far more effective and professional than the other no/low-code tools out there.
Like many folks I use Trello to simplify managing my tasks. I recently tried out String.com to build an AI agent designed to automatically analyze unlabeled Trello cards and apply relevant labels. This is especially helpful as I use email-to-board to automatically create cards for some requests. This workflow would be incredibly helpful, imagine a perfectly organized Trello board without any manual labeling effort! My goal was to have it analyze existing unlabeled cards and apply appropriate labels based on what was already on the board.
String.com's marketing promises a revolutionary approach: "What if an AI agent could build AI agents? Just type a prompt — String builds the agent for you. Way easier than no-code builders. Handles way more use cases with real, working code." They boast integration with "thousands of apps" and "AI integration with OpenAI... batteries included, no API keys required. No setup hell. No keys to manage. Just click to auth, test, and deploy."
The initial setup seemed to align with this promise: I gave it this prompt “Take unlabeled cards on a Trello board analyze them with AI and apply the most applicable labels.” String.com then created a plan, I approved the plan, the agent was created, and the Trello component was quickly configured.
Unfortunately, despite the marketing claims of "no setup hell" and "batteries included," the AI seemed to encounter a lot of errors, though it was able to move on from those errors on its own. This resulted in a lot of repeated, very inefficient requests, using more than 2 million tokens without successfully producing anything. I’m out of tokens on my paid plan, so I can’t finish this up for another 26 days.
Here's what I liked:
Great Idea: The concept of using AI to build an AI powered tools is great.
Intuitive Setup: Agent configuration and Trello connection were straightforward, fulfilling "just type a prompt" and "easier than no-code builders" claims.
Self-repair: The agent diagnosed and recovered from errors autonomously, indicating strong underlying intelligence.
However, I encountered significant issues that highlight areas for improvement:
Excessive AI token consumption was the critical issue. Despite only 8 unlabeled Trello cards, the agent used over 2 million AI tokens, depleting my supply and halting the process. This contradicts "batteries included" and "no setup hell" claims, as such high consumption for a minimal task is highly inefficient and prohibitively costly for production.
Early Challenges and Unforeseen Expenses: Initial friction points included the retrieval of "0 cards" and a "Test failed" step. The agent's multiple unsuccessful attempts undeniably consumed tokens. These repeated efforts contributed to overall inefficiency and an unexpected depletion of my paid plan's allowance.
Comparison: I attempted to create the same project with Gemini-CLI, for it I used the prompt "Create a python script which retrieves all unlabeled cards from a trello board analyze them with AI and apply the most appropriate labels." The first 3 turns were spent on setting up the python environment, which I could have done manually with 'uv init' but I wanted to see what the AI would do. I then spent another 3 turns refining and polishing the script and now have a reusable package. I included the token usage stats below from /stats in Gemini-CLI. This seems like reasonable token usage for the amount of work that was done.
String.com's new product is super innovative, and I'm really optimistic about its potential! Right now, there are some kinks to work out for it to be truly viable. But after watching what they’ve built with Pipedream over the past few years I have a good feeling the team at String.com will tackle these issues soon.
@jnhaisley thanks for the detailed write up! This is exactly the type of feedback we're looking for during the early-preview. We're continuously tuning which cases String solves efficiently and which need more work. That said, we're super excited about what String can already do today and we're even more excited about the future possibilities.
I'd like to offer you more tokens so you can keep using the product and give us more feedback. I believe we've connected before -- I'd love to chat more if you're open to it. You can book time on my calendar here https://calendly.com/pipedream/30-minute-meeting. Or just ping me in our public Slack or reach out to support@pipedream.com and we'll load up more AI tokens for you!
@pravinsavkar Thanks for reaching out! I sent you a message on slack, and I'm super excited about the possibilities, and I know after watching the evolution of pipedream what your team is capable of producing.
Replies
Pipedream
What if an AI agent could build AI agents?
Introducing String.com by Pipedream.
Just type a prompt — String builds the agent for you.
Way easier than no-code builders.
Handles way more use cases with real, working code.
Example? Try, "Build me an agent that watches a GitHub repo and creates matching Linear issues."
Done in one shot.
But String.com isn’t just for simple stuff — chat to generate full-featured agents using custom code and tools for thousands of apps:
Messaging with Slack or Discord
Internal tools like Airtable, Notion, and Google Sheets
Data processing with Snowflake, Postgres, or BigQuery
Web automation like scraping, browsing, and monitoring
AI integration with OpenAI, Anthropic, and others — batteries included, no API keys required
No setup hell. No keys to manage. Just click to auth, test, and deploy.
Try it free. See what one prompt can do.
String.com
Tidyread
This is fascinating! 🚀 The ability to create agents for data processing without API keys is impressive. How do you handle updates or changes in the APIs of integrated services like Snowflake or Postgres? 📊 Eager to see how it performs!
Pipedream
@jaredl Updates or changes to APIs do not impact deployed agents (unless, of course, the update is a breaking change for prior APIs). We do offer a clean upgrade path to adopt updates or changes if you want.
Clueso
This is very cool! I'm gonna try building an agent that researches free trial signups for my product based on some specific parameters and send me slack notifications for the signups I should be focused on to convert them to paid customers!
Pipedream
@neel_balar Please let us know how it goes!
Just tried to get an email alert for a keyword on hacker news, worked like a charm!
But I haven't seen any indication on pricing, my test used 1.2m of the available 4m tokens. So what does it cost, and is there a coupon for early adopters :-)
Pipedream
@tomm_p "Worked like a charm" - made my day. Pricing is available at https://pipedream.com/pricing.
Pipedream
@german_merlo1 Thanks! Much appreciated.
DocsHound
Congrats. Sounds super interesting
Pipedream
@k_piotr Thanks! Let us know how your first time user experience goes.
WorkHub
Pipedream
@moaz_ahmad We have found ChatGPT and Claude are quite good at helping with prompts. Additionally, we do plan to add a prompt generator to help users out.
Onepane
Congrats on the launch! 👏 I’ve been exploring tools like Notion and Slite for collaborative docs — curious how String stands out in real-time collaboration or AI features.
Pipedream
@ashmil_hussain Real time collaboration with other agent creators? I don't think the AI features are comparable today for building agents as that really isn't their focus.
Pipedream
@alex_koo what are you waiting for? it's so easy to try :) jokes aside, let us know if you have any feedback or feel free to book some time on my calendar to chat https://calendly.com/pipedream/30-minute-meeting
Vomyra AI – Voice AI Agent
Pipedream
@sumitgoel we're definitely thinking about how String can work with your own AI agent. Please book some time on my calendar if you want to discuss https://calendly.com/pipedream/30-minute-meeting -- I'd love to learn more about your use case. We also launched https://pipedream.com/connect so your agents can use 2700+ apps and 10k+ tools on behalf of your users (they don't need their own own Pipedream accounts).
Vomyra AI – Voice AI Agent
I used it to create a part of automated code generation for @Baloon.dev . didnt have to go through GPT to add flows like in n8n. and got a boilerplate from prompts - which is good and time saver.
Pipedream
@ankur_patankar that's great to hear! Thanks for sharing!
@pravinsavkar Hey Pravin, is there any way to convert this to n8n's workflow?
Reason - I think I can build pretty good flows using string, but I also want to publish my product on n8n marketplace so that I can sell. is it possible ?
Congratulations team! I have been a loyal user of Pipedream for a couple of dreams. Awesome to see this new tool, which make the workflow building process even easier!
Pipedream
@jingconan thanks for being a loyal user and for the feedback! And this is just the start -- it's going to get even easier and more powerful!
Pipedream
@woanwoei_fileai thanks for the feedback! You can definitely iterate with String and go well beyond simple tasks. Give it a shot and let us know how it goes!
It worked as I asked for summarizing my emails, calendar, tasks,,,but I run out of credits at Pipedream
Tried setting up an email alert for LinkedIn posts that resonate with my target market and it took less than five minutes. Love how quick and easy it was!
Pipedream
@lienchueh Thanks for sharing your story and experience!
I started the day screaming into a paper bag in frustration with a backend workflow tool. Found this. Spent 30 minutes building and testing a flow and threw the paper bag away. Brilliant.
Pipedream
@scott_sager that's exactly why we built String! Once you see the magic you don't want to go back! Let us know how it goes and if you have any other feedback!
One of the more useful ways to build something real that works with a whole bunch of existing applications. Far, far more effective and professional than the other no/low-code tools out there.
Pipedream
@sumico Thanks for the feedback -- we couldn’t agree more! And we’re just getting started...stay tuned!
Very cool, so this is like a lovable/bolt.new for building agents. Seems to work pretty well!
Pipedream
@boltzmanns0ul Thanks for the feedback! Let us know how it goes!
Promising Concept, But Major Efficiency Hurdles
Like many folks I use Trello to simplify managing my tasks. I recently tried out String.com to build an AI agent designed to automatically analyze unlabeled Trello cards and apply relevant labels. This is especially helpful as I use email-to-board to automatically create cards for some requests. This workflow would be incredibly helpful, imagine a perfectly organized Trello board without any manual labeling effort! My goal was to have it analyze existing unlabeled cards and apply appropriate labels based on what was already on the board.
String.com's marketing promises a revolutionary approach: "What if an AI agent could build AI agents? Just type a prompt — String builds the agent for you. Way easier than no-code builders. Handles way more use cases with real, working code." They boast integration with "thousands of apps" and "AI integration with OpenAI... batteries included, no API keys required. No setup hell. No keys to manage. Just click to auth, test, and deploy."
The initial setup seemed to align with this promise: I gave it this prompt “Take unlabeled cards on a Trello board analyze them with AI and apply the most applicable labels.” String.com then created a plan, I approved the plan, the agent was created, and the Trello component was quickly configured.
Unfortunately, despite the marketing claims of "no setup hell" and "batteries included," the AI seemed to encounter a lot of errors, though it was able to move on from those errors on its own. This resulted in a lot of repeated, very inefficient requests, using more than 2 million tokens without successfully producing anything. I’m out of tokens on my paid plan, so I can’t finish this up for another 26 days.
Here's what I liked:
Great Idea: The concept of using AI to build an AI powered tools is great.
Intuitive Setup: Agent configuration and Trello connection were straightforward, fulfilling "just type a prompt" and "easier than no-code builders" claims.
Self-repair: The agent diagnosed and recovered from errors autonomously, indicating strong underlying intelligence.
However, I encountered significant issues that highlight areas for improvement:
Excessive AI token consumption was the critical issue. Despite only 8 unlabeled Trello cards, the agent used over 2 million AI tokens, depleting my supply and halting the process. This contradicts "batteries included" and "no setup hell" claims, as such high consumption for a minimal task is highly inefficient and prohibitively costly for production.
Early Challenges and Unforeseen Expenses: Initial friction points included the retrieval of "0 cards" and a "Test failed" step. The agent's multiple unsuccessful attempts undeniably consumed tokens. These repeated efforts contributed to overall inefficiency and an unexpected depletion of my paid plan's allowance.
Comparison:
I attempted to create the same project with Gemini-CLI, for it I used the prompt "Create a python script which retrieves all unlabeled cards from a trello board analyze them with AI and apply the most appropriate labels." The first 3 turns were spent on setting up the python environment, which I could have done manually with 'uv init' but I wanted to see what the AI would do. I then spent another 3 turns refining and polishing the script and now have a reusable package. I included the token usage stats below from /stats in Gemini-CLI. This seems like reasonable token usage for the amount of work that was done.
Stats Cumulative (6 Turns)
Input Tokens 464,165
Output Tokens 5,574
Thoughts Tokens 4,171
Cached Tokens 248,863 (52.5%)
Total Tokens 473,910
Overall:
String.com's new product is super innovative, and I'm really optimistic about its potential! Right now, there are some kinks to work out for it to be truly viable. But after watching what they’ve built with Pipedream over the past few years I have a good feeling the team at String.com will tackle these issues soon.
Pipedream
@jnhaisley thanks for the detailed write up! This is exactly the type of feedback we're looking for during the early-preview. We're continuously tuning which cases String solves efficiently and which need more work. That said, we're super excited about what String can already do today and we're even more excited about the future possibilities.
I'd like to offer you more tokens so you can keep using the product and give us more feedback. I believe we've connected before -- I'd love to chat more if you're open to it. You can book time on my calendar here https://calendly.com/pipedream/30-minute-meeting. Or just ping me in our public Slack or reach out to support@pipedream.com and we'll load up more AI tokens for you!
@pravinsavkar Thanks for reaching out! I sent you a message on slack, and I'm super excited about the possibilities, and I know after watching the evolution of pipedream what your team is capable of producing.