#What models / agents to use on my 1st run?

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lime knoll
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Honestly for that specific use caseweb browsing, research, trend discovery, summarization, commentary drafting, and response prep I would not overbuild your first OC stack. A lot of people jump straight into:

  • multi-agent swarms
  • complicated toolchains

…before proving the actual workflow. For a first operational build focused on research/commentary, I’d optimize for:

  • low friction
  • reliability
  • good reasoning
  • good browsing/tool use
  • low orchestration overhead
  • predictable costs

For models:

  • GPT models are still the easiest “stable baseline” for structured reasoning + browsing workflows.
  • Claude is excellent for long-form reasoning/writing and doctrine-style outputs.
  • Grok is surprisingly strong for conversational synthesis and realtime-style interactions.
  • Smaller/local models are fine later for routing/filtering/classification, but I would not start there.

For auth/provider:

  • OpenAI API is usually the smoothest first production experience.
  • Azure OpenAI if you eventually want enterprise governance/compliance.
  • OpenRouter is useful once you start experimenting with routing between models/providers.
  • Self-hosted/local inference is great later, but adds operational complexity early.

If your actual goal is: “find discussions, analyze them through my logic, generate structured commentary/replies” …then your bottleneck probably will NOT be model intelligence.

It’ll be:

  • orchestration discipline
  • prompt/context structure
  • avoiding infinite loops
  • reducing noisy outputs
  • verification
  • maintaining consistent voice/style
  • deciding when NOT to respond

That’s why I keep telling people: the model is only one component of the system. For your use case, a very lean architecture probably beats a massive autonomous build:

  • one research agent
  • one drafting/review agent
  • external orchestration/rules
  • clear contracts
  • human approval before posting

That alone can get surprisingly far before you ever need “AI swarm architecture.”

real plank
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This is what I am trying to do now. I would like to integrate the API
(Which is an issue now, because I am running the environment first time. )

Everything's currently new to me.
The things I am familiar with is neuro-linguistic cognitive syntax for LLMs but I have 0 prior knowledge on multi-agent setup.

I have to bypass the generic issues, so I need to make sure that
authentication is on point, will take me a bit.

My goal is to create exactly what you said. Not too many agents.
Just 2, one will be doing the research, and the other one will be drafting replies and commentary, and sending on my email.

#

However, if there are any particular resources that would help
someone like me (apart from FAQ) then please let me know

lime knoll
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Honestly, I would use your first build to play around, ask it questions... OC will explain how to setup everything up. Take notes, of what you asked, then the reply... build your system with lots of questions... this will take time... est 60+ hours. Then, ask it to simplify all your notes. Start a clean build and use what you learned with a fresh OC install. Doing this - yes takes time... - yet your 2nd build is much stronger as OC is now more structured from the start. I will create a Master Contract for beginners to load on fresh installs that will transform OC into a great foundation without spending the 60+hrs to do this.