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Productivity - Setup Guide

How to set up Leonardo AI

Otto's honest, no-fluff walkthrough. Every step here is what we'd actually do if we were sitting at your keyboard. Real gotchas first, real steps second, and a link to the personalized version at the bottom.

What you're signing up for

Easy, roughly 10 minutes for basic setup.

Read these before you start

  • Tokens are consumed on FAILED generations, including generations blocked by Leonardo's own content filter, this is a real cost risk worth explicitly flagging to the client, a string of failed attempts due to filter false-positives burns budget with nothing to show for it (Source: Trustpilot reviews via WebSearch summary, 2026)
  • "Unlimited" plan marketing language doesn't hold for premium model access (Veo, Kling, Sora, Nano Banana Pro), any client planning to use these specific models should budget for metered top-ups regardless of which tier they're on (Source: G2 review aggregation via WebSearch summary, 2026)
  • Content filters are reported as aggressive enough to block ordinary descriptive prompts, test the client's actual real-world prompts (product descriptions, character descriptions) during evaluation rather than assuming standard marketing copy will pass cleanly

The 7-step setup

  1. 1

    Create your Leonardo AI account

    Sign up at the link below. Free tier available - no card required. Use your business email so you can invite teammates later.

    Open Leonardo AI signup
  2. 2

    Complete the initial onboarding

    Skip the marketing questionnaires when you can. Fill only the fields that actually configure the product - name, timezone, your first workspace or project. If Leonardo AI pushes you into a setup wizard, take it - it usually accelerates the first productive session.

  3. 3

    Connect your existing tools

    Wire Leonardo AI into the rest of your stack. The integrations that most people set up first: API access for custom integration into other tools/pipelines.. Do these before importing data - clean integration first, data second.

  4. 4

    Import your existing data (only what you'll actually use)

    Do NOT bulk-import everything. Import the last 30 days of the ONE workflow you're moving over first. Prove it works. Then import more. Big-bang migrations are how Leonardo AI deployments die in month 3.

  5. 5

    Set up your first real workflow

    Pick the single most-frequent task you'll do in Leonardo AI - the daily-driver workflow. Configure it end-to-end. Use it live for a week. Do not touch any other feature yet. Adoption failure comes from teams trying to use everything on day one instead of the one thing that actually pays.

  6. 6

    Add your team (if applicable) and set access

    Once your solo workflow works, invite one teammate at a time. Watch them use it. The friction points you missed are the ones they hit. Fix those before scaling to more users. Never invite 20 people at once - you'll get 20 confused people and 0 useful feedback.

  7. 7

    Compound with the right pairings

    Recommend Leonardo AI for marketing/content teams and agencies needing brand-consistent, fine-tuned image generation, it's genuinely more controllable than most alternatives. Explicitly warn the client that failed generations (including filter-blocked ones) still consume tokens, and that "unlimited" language doesn't apply to premium models, budget accordingly rather than assuming a flat monthly cost. Test the client's actual prompts for filter sensitivity before committing to a workflow built ar...

Pricing you'll hit

Per tools.json: Free (150 tokens/day), Apprentice ~$10/mo (8,500 tokens/month), Artisan ~$24/mo (25,000 tokens/month), Maestro ~$48/mo (60,000 tokens/month). Confirm current numbers at leonardo.ai/pricing, and specifically confirm which models (Veo, Kling, Sora, etc.) are included in standard token allocations versus metered separately.

Want it personalized to YOUR business?

Otto builds a custom Leonardo AI setup for your exact context.

The steps above are the universal path. Run a 30-second scan and Otto tailors them to your industry, team size, existing stack, and the specific pain points you're trying to fix.

Get my personalized setup