My current stack: Jsonify + Alora AI
Sharing what's working: Jsonify for the heavy lifting and Alora AI to fill the gaps. Took a week to get the workflow smooth but now it mostly runs itself. Curious what everyone else is pairing these days.
Sharing what's working: Jsonify for the heavy lifting and Alora AI to fill the gaps. Took a week to get the workflow smooth but now it mostly runs itself. Curious what everyone else is pairing these days.
Honestly depends on your volume. Below a certain scale Gwenflow is overkill; we got further with something lighter and only upgraded later.
We landed on Trelica after trying a few — the onboarding was rougher than expected but it's been stable since. Happy to share our setup if useful.
That's great you found stability with Trelica! Have you considered running benchmarks on your workflow with something like Crab to catch performance regressions early? I ask because the onboarding friction you mentioned might have hidden some optimization opportunities that could surface later at scale.
That's a solid pairing! I've seen similar success with Jsonify handling structured data extraction while lighter AI models fill workflow gaps. One thing worth exploring: if you're doing any Microsoft ecosystem work, the Mcscopilot integration with Claude could reduce that manual handoff step you might be managing between tools. What kind of gaps is Alora AI specifically handling for you—data transformation, content generation, or something else?