AI & RAG

Onboarding research agent for new-hire engineering questions

An agent that takes an open-ended onboarding question, plans multi-step lookups across Confluence and GitLab wikis.

CategoryAI & RAG
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew-hire question in onboarding Discord channelDiscordDiscord
  • ActionAgent plans and retrieves across Confluence + wikisConfluenceConfluence
  • LogicCoverage check: gaps requiring another pass?
  • ActionAssemble cited walkthrough with OpenAIOpenAI
  • OutputDeliver guide to new hire in DiscordDiscordDiscord

What it does

Handles broad, multi-part onboarding questions like "how do I get a dev environment running and ship my first change" that no single doc answers. An agent decomposes the question, runs several retrievals across Confluence and GitLab wikis, and assembles a step-by-step guide with a citation on every step, then delivers it to the new hire in Discord.

When to use it

During engineer onboarding, when answers are spread across many pages and a single retrieval misses context. Better than a one-shot bot for questions that genuinely require chaining several lookups.

How it works

  1. 1A new hire posts a question via the onboarding Discord channel trigger.
  2. 2The agent plans sub-questions and retrieves from Confluence and GitLab wikis across multiple passes.
  3. 3It checks coverage and re-queries for any gap before answering.
  4. 4OpenAI assembles a structured, ordered walkthrough citing each source step.
  5. 5The completed guide is posted back to the new hire in their Discord thread.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect GitLabRepos, MRs, pipelines, registry.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.