Design-partner pilot · cohort of 20

The visual judgment layer for AI agents.

AI made your team faster, but an agent that can’t see your images is working blind. Argus reads mood, composition, palette, and cohesion — so the agents on your team can find the right asset and judge whether it fits the job, not merely retrieve it.

  • Free white-glove onboarding
  • Your assets, imported for you
  • No card required

The deal.

Cohort
20 studios
Duration
~10 weeks
Onboarding
Done with you
Cost
Free

What you get

  • Full access for the pilot run
  • White-glove setup & asset import
  • Direct line to the builders

What we ask

  • Use it on real work
  • Two 30-min feedback calls
  • One pricing conversation

Your agents see filenames,
not images.

Drives, Slack threads, client folders, a Notion or two. Every campaign buries the last one. When you wire up an agent to draft a deck, write a newsletter, or post to social, it has no idea what the shots actually look like — mood, palette, composition, which one carries the campaign’s warmth — so it asks you, or it picks blind.

  • Agents that can't see mood, palette, or composition, so they choose the wrong asset
  • Re-finding the same hero shot because your agent couldn't tell it apart from the rest
  • No way to check whether an asset actually fits the campaign before it ships

One MCP endpoint for store / search / moderate / fetch — instead of stitching S3 + a vision model + a metadata DB + a rights tracker yourself.

What your first session looks like.

We sit with you, import a real asset set, and wire Argus into your stack live. Ninety minutes, end to end. Here's the shape of it.

  1. 01
    Observe

    We import your shoot. Argus reads every frame.

    Drop in a campaign folder and each asset comes back with a description, tags, mood, and palette — plus the composition intent behind it. No manual tagging, no naming conventions to enforce.

    Vision analysis
    A hand holds a lush bouquet of pink peonies, astrantia, and snapdragonsJPEG
    campaign-hero-03.jpeg analyzed
    A hand holds a lush bouquet of pink peonies, astrantia, snapdragons, and fresh mint, wrapped in lavender tissue and brown paper.
    bouquetpeoniespinkeditorial
    mood: warm, celebratory, abundant
  2. 02
    Focus

    You search by meaning. Not filenames.

    Ask for “celebratory bouquet, warm tones” and Argus ranks your library by what the image actually is — filter by tag, mood, palette, or date.

    Semantic search
    campaign-hero-03.jpeg
    peonies · warm · celebratory
    0.94
    lookbook-fall-12.png
    floral · amber · harvest
    0.87
    social-dahlia-closeup.jpg
    flower · pink · joyful
    0.81
  3. 03
    Radiate

    Your agents reach it over MCP.

    One line of config and every agent in your stack can query the catalog, pull an optimized URL, and drop it straight into a deck, newsletter, or post. REST for everything else.

    Connect
    claude_desktop_config.jsonMCP
    // add to your MCP servers
    {
      "mcpServers": {
        "argus": {
          "url": "https://argus.build/mcp"
        }
      }
    }

A straight trade.

What you get
  • Free pilot access for the full ~10 weeks
  • White-glove onboarding — we set up your workspace and import a real asset set
  • Your MCP + REST integration wired into your stack
  • Generation credits to build with
  • A direct line to the people building it
What we ask
  • That you actually use it on real work
  • Two 30-minute feedback calls along the way
  • One honest pricing conversation near the end
Cohort
20 studios
Runs
~10 weeks
Onboarding
Done with you
Cost
Free
Limited cohort

Request a pilot seat.

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We'll only use this to talk to you about the pilot.