AI inference costs for Opus and Sonnet are so high, you will never see the ROI of your AI transformation. You should be switching models depending on the user and their work complexity. We can help you actually realize a return on your AI investment. @useCamelAI πͺ π«Ά
You do not need an insane anthropic bill for cowork for sales/marketing/ops knowledge work. camelAI + DeepSeek V4 Flash for my work has been incredible.
You don't need to write emails using cowork with the most expensive models. use @useCamelAI for better-than-cowork powered by any model. open-source (soon) cloud-first π
Open source Cowork powered by any model you want.
Your creations are automatically hosted so you can share with your teammates.
The tools you create are automatically provisioned a backend.
Coming June 2025 - or bring your own API key and try it now
your small business is sitting on useful data in spreadsheets, shopify, and quickbooks but the only way to make sense of it requires learning sql or hiring someone who knows it π
we compared the platforms that actually let you skip the code and just ask questions β ranked by what small teams can realistically use today πͺ
https://t.co/1D2qon33Tf
you picked turso because embedded sqlite replicas at the edge is a cheat code for latency. but every time someone asks "how are users distributed across regions?" you're back in the turso cli writing queries by hand π
connect it to camelai, ask in plain english, and get a live dashboard deployed to a shareable url β your edge data, finally visible without the manual work πͺ
https://t.co/y9JgKLU16B
you picked neon because serverless postgres that branches like git is incredible. but you're still writing sql by hand every time someone asks "how's the new feature affecting signups?" π
connect your neon branch to camelai, ask in plain english, and get a live dashboard deployed to a shareable url β works across branches so you can compare prod vs staging data side by side πͺ
https://t.co/j22TXdHZTI
we tested 10 ai analytics tools that are actually free β not "free for 14 days" free. power bi, looker studio, camelai, and 7 others ranked by what you can realistically build without entering a credit card π
https://t.co/10ShAISN7Z
you spent 6 months building a lakehouse in databricks and your team still asks you to "export that to a spreadsheet real quick" π
connect databricks to camelai, say "show me model performance metrics alongside revenue by segment from our delta tables" and get a live app deployed to a shareable url β no mosaic ai dashboards, no notebook screenshots, no extra BI layer πͺ
https://t.co/ghyUs5jHfe
you're ssh-ing into production just to run `redis-cli INFO` and eyeballing cache hit rates in raw text. meanwhile your queue is backing up and nobody notices until users complain π
connect redis to camelai, say "show me cache hit ratio, memory usage, and queue depth with alerts" and get a live monitoring dashboard deployed to a url β no grafana yaml, no prometheus config πͺ
https://t.co/DKzqwGAjCR
your finance team is spending half its week pulling reports that are outdated by the time they reach the CFO's desk. meanwhile the teams actually moving fast are just asking their data questions and getting answers in seconds π
we broke down the tools finance teams are actually using in 2025 β what works for forecasting, reconciliation, variance analysis, and where each one hits its limits
https://t.co/JHwGrBT6Nh
your snowflake warehouse has a petabyte of data and your team still waits 2 weeks for a new looker dashboard because the analytics queue is backed up π
connect snowflake to camelai, ask "show me customer acquisition cost by channel over the last 6 months" and get a live dashboard deployed to a shareable url β no BI tool seats, no dbt models, no waiting
https://t.co/sIYGtQEHux