| What it does | Connect your ad accounts to Claude or ChatGPT with 600 tools and 214 media-buying playbooks
| The native language of AI; in human terms, a protocol.
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| CA
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| Pricing model | Freemium
| Open source
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| Pricing | Free: $0/month (1 ad account, 1 seat, 200 tool calls per month, read only). Pro: $29/month (4 ad accounts, 1 seat, unlimited tool calls, reads and writes). Team: $99/month (12 ad accounts, 5 seats, unlimited tool calls, reads and writes). Enterprise: contact for pricing (unlimited ad accounts, 5 sea
| Not given
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| Key features | - 600 implemented tools across 14 advertising platforms
- 214 media-buying playbooks for analysis and optimization
- Preview-before-apply workflow for all campaign changes
- Per-account granular access control
- Support for 14 advertising and analytics platforms
- Natural language queries against advertising accounts
- AES-256-GCM token encryption before storage
- Bulk ad creation with Google Drive and Dropbox imports
- Google Sheets exports with scheduled automatic refresh
| - AI-native communication protocol with 88 verbs and two syntaxes
- AI See: give any AI model vision by pasting i.ilang.ai URLs
- Zero installation required, pure text format
- Works across ChatGPT, Claude, Gemini, DeepSeek, Qwen and other models
- Loader available via pip and npm for automatic protocol injection
- Prompt compression: 67% reduction in tokens for typical instructions
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| What makes it different | - One URL connection with no local installation required
- Natural conversation interface instead of query language
- Automatic safety with preview and confirmation before changes apply
- Works with multiple AI assistants: Claude, ChatGPT, Cursor, Codex
- Media-buying playbooks guide AI through structured analysis workflows
| - First protocol to formally map Greek mathematical symbols as primitive verbs for AI-to-AI communication
- Computable vector space for AI judgment using 11 dimensions and fuzzy mathematics instead of binary classification
- Open source and MIT licensed with no royalties or approval required
- Operates at the instruction and behavioral layer, complementary to MCP and A2A protocols
- Tested and benchmarked with public conformance results and DOI-registered research
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 15 ▲ +1 (up) since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 9 | 7 |
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| Citation Flow (Majestic) | 32 | 27 |
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| Referring domains (Majestic) | 45 | 66 |
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