Diving into the New AIOps tools landscape: Unpacking fully assembled AI agents built on @evidence_dev, with data gathering and orchestration by @crewAIInc.
Why I did it:
π To test whether agents can accurately gather comprehensive company info from a name and URL.
πΌ My day job revolves around developing AI solutions that need constant monitoring and evaluation, so I explored the current offerings.
π A quick Google search mostly shows giants like New Relic and Datadog. I wanted to highlight emerging startups in the space.
I've got a detailed market overview pending fact-checking. I compiled it over a few evenings, squeezing it in after my main projects. Stay tuned!
@zeroxtlt@conductor_build To be honest and without flattery, the Conductor is the best tool for orchestrating Claude Code β and I've tried 24 of them. Maybe I should write an article about it?
@skirano I'm always eager to pay for the subscription, but you must understand what you're paying for. This is a great product that excels in its niche.
It will definitely become one of our essential tools.
If you want to build good Agents, you need to know how to stitch together models, tools, instructions, reasoning, knowledge, storage and memory.
Here's how I use them (link to code included) π
Introducing @mastraβs MCP documentation server: turn any AI assistant or IDE that has MCP support ( @cursor_ai, @windsurf_ai, @cline, etc ) into an expert on Mastraβs complete knowledge base.