Caddi

Caddi

Agent that builds agents by only showing your work only once

LegalArtificial IntelligenceProductivity
▲ 243 votes35 commentsLaunched Aug 28, 2026
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Daily #7Weekly #18
Caddi screenshot 1

Caddi turns narrated screenshares into production agents that run back-office work across your real tools. Show the task once, and Caddi learns the process, builds the automation, and lets you update it in plain English. Unlike RPA or workflow builders that require scoping, developers, and step-by-step setup, Caddi combines AI reasoning with deterministic execution, with every run logged and every permission scoped.

AI Analysis

📝 Summary

Caddi is an AI agent that converts narrated screenshares into production agents for back-office automation across real tools. Users show a task once; Caddi learns the process, builds the automation, and enables plain English updates. It combines AI reasoning with deterministic execution, logs every run, and scopes permissions. Solves pain points of traditional RPA like needing developers, complex scoping, and rigid setups. Value proposition: empowers non-technical users to quickly create, deploy, and maintain secure automations, boosting productivity in legal and admin workflows.

📈 Market Timing

In 2025-2026, timing is excellent due to maturing multimodal AI and LLM capabilities enabling reliable agents, surging enterprise demand for no-code automation amid productivity pressures, and supportive AI policies. Businesses are shifting from rigid RPA to intelligent solutions, aligning perfectly with Caddi's approach.

✅ Feasibility

Medium. High technical difficulty in reliable vision-based learning and cross-tool execution; AI inference costs could be substantial. Permission scoping helps mitigate compliance risks in legal use. Strong scalability potential but depends on robust error handling. Feasible with current tech but requires significant R&D investment and testing for production reliability.

🎯 Target Market

Primary segments: legal professionals, back-office operators, and productivity teams in SMEs/enterprises (focus on legal/tech industries), mainly North America/Europe. Growing AI automation TAM in productivity/legal tech with strong demand. Core pains: repetitive manual tasks, high barriers to traditional automation. High willingness to pay for time-saving, easy-to-maintain solutions.

⚔️ Competition

Medium. Competitors: Bardeen (bardeen.ai), UiPath (uipath.com), Zapier (zapier.com), MultiOn (multion.ai), Adept (adept.ai). Advantages: unique 'show once' narrated screenshare for agent creation, plain English editing, logged deterministic runs with scoped permissions. Disadvantages: newer entrant with potentially fewer integrations and less enterprise maturity than RPA giants like UiPath.

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