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How agents will unlock the $500B promise of AI - Donald Hruska, Retool
Takeaway
The agent itself is easy in 100 lines of code; productionizing security, observability, connectors and compliance is why most enterprises will buy a managed agent platform.
Summary
- Donald Hruska (Retool) cites $500B AI infra spend vs limited enterprise return; Anthropic hit $3B ARR end of May (3x growth in 5 months) and OpenAI is on track for $12B 2025 revenue, with coding leading enterprise usage.
- Notes SWE-Bench Verified jumps: GPT-4.1 +21 pts over GPT-4o, Gemini 2.5 Pro +9 over GPT-4.1, plus 'vibe coding' (Rick Rubin: 'punk rock of software') as evidence agents are reshaping engineering.
- Demonstrates a basic ReAct-style agent in ~100 lines of JS/Python — LLM + tool functions + execution loop with max iterations.
- Productionizing agents is the hard part: SSO, RBAC, audit logs, SOC 2, secrets, internationalization, hallucination, cost overrun and evals all need solving — categorizes options as build from scratch, framework (LangGraph), platform (Retool Agents), or vertical agent product.
- Build vs buy heuristic: core/competitive workflows → build; regulated/SLA-heavy → both; commodity workflows that you need in days not quarters → buy a managed platform like Retool Agents.
agentsretoolenterprise
Original description
AI agents are on the cusp of revolutionizing work as we know it. The number of use cases software can tackle is set to explode as AI handles tasks requiring real judgment. But to cross the gap between an interesting AI prototype and an essential business tool, you need agents built by developers with real guardrails and security. This means blending AI assistance with traditional coding in a multimodal approach that maximizes efficiency and control. The future isn't about dropping in an LLM — it requires integrating any model, any data, any system to deliver results. Companies utilizing this approach can finally turn their slice of the $500B+ of total AI investment into real business results. About Donald Hruska Donald is the engineering lead for Retool's new Agents product. In his three years at Retool, Donald has led teams across AI, Mobile, and Retool's core app building product. Prior to his time at Retool, Donald co-founded and spent 5+ years growing Draftbit, a Y Combinator-backed company in the low code app building space. Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter