AI + Automation Governance: Orchestrating Independent AI Triage Scripts

I’m building AI-powered automations using independent AI triage scripts (e.g., spam check, tag determination). These currently run concurrently, which is inefficient. I need to “chain” them so, for example, the tag script only runs if the spam script doesn’t flag the content.

How can I govern and orchestrate these scripts for a more logical workflow? Specifically, how can I chain these scripts conditionally?

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Can you describe the full flow you are after? Would this be something you run on a separate server or would you like this to run in Discourse?

AI workflows is something we are thinking about a lot, the ability to define chains is key with workflows. I agree completely with that.

From what I can see, most of my use cases can be done in Discourse with AI Triage and Automation, if one can trigger then next.

Here is a hypothetical flow where each step would send the post contents and a prompt to the LLM:

  1. Check if spam
  • If spam, then hide and flag
  1. If not spam, determine products discussed
  • Add product label(s)
  1. Next determine intent:
    ** Complaint
    ** Question
    ** Suggestion
    ** Information sharing
    ** Positive feedback
  • Add intent tag
  1. If ‘complaint’ then evaluate for hot button issues: ie. contains hot-button phrases (cancel, terrible, slow)
  • If hot button issue, add ‘hot’ tag and assign to Sam
  1. If the intent is ‘positive feedback’ and product ‘wireless phone plan’, write a custom invitation to referral program and send as PM.
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This is great and a very interesting use case.

Custom tools already have support now for scripting so we have a great vehicle for this kind of change.

I am thinking Persona + forced tool use - then from the tool we can run the flow given we already have all the infra to do so. Just need to give custom tools the ability to trigger other llm calls, something that is reasonably simple to add.

Interestingly given custom tools have support for rest calls they can run the entire flow (and just use the discourse rest api to wire this up)

Let me have a think about this over the weekend, and will reply again next week with how I think we can swing this.

Automation chaining is also a very interesting approach here, @joffreyjaffeux have you thought about this problem?

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This reminds me of the IFTT/Zapier chain of actions, I think we could borrow a lot of their UI/UX elements if we build something like this out

Hi @Cloud_spanner I am trying to get to the bottom of this and would like to flesh out the actual flow here a bit more, can you help with some answer to questions along the way 5. ?

  1. Which posts should be scanned?

    1. Every new post on the forum?
    2. Every new topic - eg post number 1 - on the forum?
    3. What about edits? Should every edit be scanned? At what frequency? (10 minute debounce)
    4. What about high trust users? People that already posted twice on the forum?
  2. Intent

    1. Should it apply to ALL topics? ALL posts?
    2. What if an intent tag is already there?
    3. Can a topic have more than 1 intent (is this a tag group?)
  3. If intent can be manual, should manually tagged stuff also be scanned for “hot button”?

    1. Is hot an invisible tag or visible tag?

Particularly, what I am thinking about here is:

  1. Does the “workflow” contain shortcuts, where particular posts just skip steps an proceed to next
  2. How do we avoid feedback loops and edge cases
  1. Every new topic should kick off an AI triage workflow. Edits can be ignored.

  2. To be clear, I am using intent to illustrate the workflow so it shouldn’t be considered a hard-coded flow. The point I am trying to make is that there is no reason to kick off ‘intent’ workflow if the first triage workflow deems it unnecessary. +1 to the IFTTT workflow concept.

Intent and ‘hot’ would be invisible tags in this example visible to mods and admins only.

There should be one intent tag per post.

  1. I think for the sake of the workflow, we can ignore manually tagged posts.

Yes.

What if a private tag was used to show that the flow has run for that topic? And then it can be ignored for any future runs.

Another thought I have is that with the increased ability for LLM “reasoning” + large context windows would it be better to allow for structured outputs in the Discourse Automation window. IFTTT logic could then just be applied to a single automation instead of chaining multiple automations together. Imagine if there were the ability to have one automation, but many “Search for text” actions.

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I have been thinking about how to solve this within our current system and one very appealing option is allow for a new automation type:

triage_using_custom_tool

We already have the custom tool system:

We can then allow it a few more functions such as llm.generate and topic.close, topic.tag and so on which could be used by the tool to perform these types of workflows.

Another advantage this has is that you could even test it which would make it easier to tune it.

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That sounds like a great idea. I’m still newish to the Discourse ecosystem, so I’ll dig into Custom Tools and also how feature requests make their way into production.

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