Latest from Sparkco
Enterprise AI insights, automation research & agent innovations
Automated Prediction Market Trading: CLI Agents on Kalshi
A practical guide for developers and traders on using CLI-based agents to automate order placement on Kalshi prediction markets. Covers thesis-driven trading logic, real tickers, and the agentic runtime behind production-grade automation.
Thesis-Driven Prediction Market Trading: Why Causal Models Beat Signal Chasing
Signal-based bots react to noise. Thesis-driven agents understand why prices should move. Here's how causal models change prediction market trading.
Agent Infrastructure Wars: Who Is Building the Plumbing for AI in 2025 — Enterprise Buyer's Guide June 12, 2025
Comprehensive 2025 buyer's guide to agent infrastructure: vendor landscape, architecture components, ROI, pricing models, security and procurement guidance for enterprise architects and CIOs. Includes vendor comparison matrix and downloadable POC checklist.
OpenTrace and MCP Observability: Production Monitoring for AI Agents 2025
End-to-end observability for AI agents using OpenTrace and MCP. Traces, metrics, logs, and AI-specific insights combined to improve reliability, reduce MTTR, and accelerate incident response. SaaS and on-prem options, integrations, security, pricing, and real customer outcomes.
Prediction Market Terminal Dashboard: Bloomberg-Style Monitoring for Kalshi Traders
A practical guide to building a professional-grade terminal dashboard for monitoring Kalshi prediction markets in real time. Covers CLI tooling, agentic scanning, position tracking, and thesis-driven trade execution.
No Open-weight Model Beats Claude Haiku: Implications and Deployment Guide for Local AI Agents — March 3, 2025
Data-driven analysis and deployment guide: why Claude Haiku currently outperforms open-weight models for on-device agents, how to evaluate trade-offs, architecture blueprints, benchmarks, pricing, and next steps for enterprise adoption.
Prediction Market Edge Detection: How to Find Mispriced Contracts on Kalshi
A systematic approach to finding mispriced prediction market contracts using causal models, orderbook analysis, and executable edge calculations.
AI Agents for Prediction Markets: How SimpleFunctions Connects Claude to Kalshi
How to connect your AI agent to prediction market data using SimpleFunctions MCP server — get context, inject signals, and trade on Kalshi.
Agent CLI Tools Comparison 2025: Claude Code, Cursor, Copilot, and OpenClaw — Full Evaluation (Updated February 26, 2025)
Comprehensive, data-driven product page comparing agent CLI tools—Claude Code, Cursor, Copilot, and OpenClaw. Includes feature matrices, benchmarks, pricing, integrations, security, case studies, and a decision guide for engineering teams evaluating CLI-based AI assistants.
igllama vs Ollama vs OpenClaw: The Local AI Infrastructure Showdown 2025 — Comparative Product Page and Evaluation
A 2025 comparative product page evaluating igllama, Ollama, and OpenClaw for local LLM inference. Includes feature matrices, benchmarks, deployment guides, security analysis, pricing TCO, and buyer recommendations.
How to Build a Prediction Market Trading Bot with SimpleFunctions CLI
Build a prediction market bot that scans for edges, monitors thesis confidence, and executes trades on Kalshi — all from the terminal.
Sparky: The Living OpenClaw Bot — Product Page & Community Guide (October 15, 2025)
Comprehensive product page for Sparky, the living OpenClaw bot: features, technical specs, APIs, pricing, onboarding, case studies and community resources to help developers, educators, and startups adopt and contribute.
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