multi-step tasks. Advances in reasoning, multimodality, and tool use have unlocked a new category of LLM-powered systems known as agents. This guide is designed for product and engineering teams exploring characteristics that allow it to act reliably and consistently on behalf of a user: 01 It leverages an LLM to manage workflow execution and make decisions. It recognizes when a workflow is complete and can rules engine works like a checklist, flagging transactions based on preset criteria. In contrast, an LLM agent functions more like a seasoned investigator, evaluating context, considering subtle patterns

Usage + CapEx Growth = Unprecedented 2.2 Internet vs. Leading USA-Based LLM: Total Current Users Outside North America Note: LLM data is for monthly active mobile app users. App not available in select Unprecedented Leading USA-Based LLM Users 2 Source: Company disclosures Details on Page 55 6MM 2005 2025 Number of Developers, MM 0% 50% 100% Internet LLM 33 Years In 90% @ Year 3 90% Threats = Rising Competition + Open-Source Momentum + China’s Rise 5 Leading USA LLMs vs. China LLM Desktop User Share Note: Data is non-deduped. Share is relative, measured across six leading global

UDLs seamlessly handle real-time analytics, search (full-text and vector), and AI integration (ML, LLM, agents), eliminating the need for investing in many complex data platforms. Adoption for New Solutions real-time, AI-driven insights (e.g., anomaly detection, predictions, and pattern recognition) and LLM integration. 75.2 Real-time CrateDB processes and analyzes data as it comes in, providing instant real-time data streams, helping businesses prevent potential issues like fraud or system failures. LLM integration: CrateDB enhances AI-driven applications by enabling real-time vector search, anomaly detection

design? •jippity.pro: 350 lines of working code written by a 9 yo in 3h •Entire project passed to an LLM alongside a change request •Will we really need in the future: • Boilerplate generation? AI could something quickly • Tomorrow: entropy that is difficult for humans+AI to reduceHowever • Current LLM technology akin to an extra engineer, not a language feature • 100 lines/s way faster than human,

a Message Handling Library, with an Excursion into the Roots of Programming" 2Frontmatter No AI/LLM was used in the creation of this talk. Code is simplified for slides; may have some errors in translation

i=1 biki ki = f(tn + cih, yn + (ai1k1 + ai2k2 + · · · + ai,i−1ki−1)h) Linear Multistep Methods (LLM) yn+s + as−1 · yn+s−1 + as−2 · yn+s−2 + · · · + a0 · yn = h · � bs · f(tn+s, yn+s) + · · · + b0 ·