Executive Summary

Teams deploying autonomous agents—software engineering, SRE, automation, and customer-facing ops—routinely face costly AI hallucinations that take actions in production without clear, verifiable evidence, leading to outages, wrong transactions, and compliance risk. Debugging and auditing are difficult because token logs and traces don't capture the UI states or external side effects the agent observed when deciding. Build a developer-focused platform that records agent decisions alongside synchronous screenshot/video evidence, DOM/API captures, timestamps, and cryptographic hashes into tamper-evident audit trails, with SDKs for popular agent frameworks and a web UI for replay, diffing, and annotation. Include configurable retention, redaction, and exports to SIEM/compliance systems so teams can use it for root cause analysis, incident response, and audits. The market is actionable now—estimated $4.0B TAM (500K target teams × $8K ACV) driven by rapid agent adoption, expanding observability needs, and increasing regulatory/compliance pressure. You can differentiate by providing UI-level proof (screenshots + DOM/API context) and tamper-evident trails rather than just text logs, combined with low-friction integrations to minimize engineering lift; competition is medium but few vendors emphasize visual evidence. Challenges include storage costs, privacy/PII redaction, and earning enterprise trust, but the clear ROI from reduced incidents and stronger auditability makes this a practical, fundable developer tools opportunity.

Market Opportunity

Stop AI hallucinations by recording agent actions with screenshot evidence targets a $4.0B = 500K software & automation teams × $8K ACV total addressable market with medium saturation and a year-over-year growth rate of 25% YoY (industry estimates for developer tooling and AIops convergence, e.g., reports from analyst firms in 2023-2025).

Key trends driving demand: Agent adoption — More teams are deploying autonomous agents for automation and customer-facing tasks, creating demand for production controls.; Observability expansion — Enterprises are extending observability to cover AI components and need evidence for non-deterministic systems.; Regulatory pressure — Emerging regulations and internal compliance programs push companies to maintain auditable logs of automated decisions.; Low-cost capture — Stable headless browser tools like Playwright make deterministic visual capture inexpensive and reliable, enabling evidence-first products..

Key competitors include LangChain, Sentry, AgentOps.

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Stop AI hallucinations by recording agent actions with screenshot evidence

Executive Summary

Market Validation

Market Opportunity

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