u/Healthy_Fondant3598

I’m trying to build a full AI ecosystem around my life and agency – basically an army of personal assistants and agents running 24/7 – and I want to pick ONE LLM provider to standardize on (for cost, architecture, and sanity).

Stack-wise I’m planning to use n8n as the main automation spine. On top of that, I want AI agents to handle:

• Personal assistant stuff
  • Daily briefings from all my calendars
  • Time‑blocking and reminders
  • Turning brain dumps (text/voice) into tasks + scheduled blocks
• Agency + business ops
  • Writing and replying to client emails
  • Drafting proposals/SOWs, offers, and decks
  • Generating copy for landing pages, funnels, and websites
  • Helping with basic app/website scaffolding and code suggestions
• Marketing / creative
  • UGC ad scripts, hooks, variations
  • Content ideas and outlines for LinkedIn, email, etc.
  • Prompts + iterations for image/video tools (Higgsfield, etc.)
• Meta / “life OS”
  • Documenting my systems, SOPs, playbooks
  • Helping me actually follow through (ADHD, so I want the AI to nudge me, not just give me long essays)

I’m not trying to play model‑of‑the‑day. I want one provider I can build around for 1–2 years and go deep: APIs, cost optimization, n8n workflows, client solutions, everything.

From your real‑world experience:

1. If you had to choose one LLM provider today for this kind of “life OS + agency OS” (OpenAI vs Claude), which would you choose and why?
2. How do they compare in practice on:
   • Cost at scale (lots of small automation calls + some big creative/proposal calls)
   • Reliability and rate limits
   • Tooling / ecosystem (multimodal, search, integrations, etc.)
3. For n8n users specifically: which one has been smoother to work with long‑term (less jank, better docs, fewer weird edge cases)?
4. Any “I went all‑in on X and here’s what I regret / what I love” stories are super helpful.

I’m especially interested in answers from people who:

• Run agencies or solo businesses on top of automations
• Have real usage numbers (requests per day, rough monthly spend, main bottlenecks)
• Tried both and decided to standardize on one

I know “use both” is ideal, but for this question assume I’m forcing myself to pick one main engine for 90%+ of my stack.

Thanks a ton – want to make a decision that I won’t have to rip out in 6 months.

I’m trying to build a full AI ecosystem around my life and agency – basically an army of personal assistants and agents running 24/7 – and I want to pick ONE LLM provider to standardize on (for cost, architecture, and sanity).

Stack-wise I’m planning to use n8n as the main automation spine. On top of that, I want AI agents to handle:

• Personal assistant stuff
  • Daily briefings from all my calendars
  • Time‑blocking and reminders
  • Turning brain dumps (text/voice) into tasks + scheduled blocks
• Agency + business ops
  • Writing and replying to client emails
  • Drafting proposals/SOWs, offers, and decks
  • Generating copy for landing pages, funnels, and websites
  • Helping with basic app/website scaffolding and code suggestions
• Marketing / creative
  • UGC ad scripts, hooks, variations
  • Content ideas and outlines for LinkedIn, email, etc.
  • Prompts + iterations for image/video tools (Higgsfield, etc.)
• Meta / “life OS”
  • Documenting my systems, SOPs, playbooks
  • Helping me actually follow through (ADHD, so I want the AI to nudge me, not just give me long essays)

I’m not trying to play model‑of‑the‑day. I want one provider I can build around for 1–2 years and go deep: APIs, cost optimization, n8n workflows, client solutions, everything.

From your real‑world experience:

1. If you had to choose one LLM provider today for this kind of “life OS + agency OS” (OpenAI vs Claude), which would you choose and why?
2. How do they compare in practice on:
   • Cost at scale (lots of small automation calls + some big creative/proposal calls)
   • Reliability and rate limits
   • Tooling / ecosystem (multimodal, search, integrations, etc.)
3. For n8n users specifically: which one has been smoother to work with long‑term (less jank, better docs, fewer weird edge cases)?
4. Any “I went all‑in on X and here’s what I regret / what I love” stories are super helpful.

I’m especially interested in answers from people who:

• Run agencies or solo businesses on top of automations
• Have real usage numbers (requests per day, rough monthly spend, main bottlenecks)
• Tried both and decided to standardize on one

I know “use both” is ideal, but for this question assume I’m forcing myself to pick one main engine for 90%+ of my stack.

Thanks a ton – want to make a decision that I won’t have to rip out in 6 months.

I miss my bud 😞