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Fighter's World
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Fighter's World

Live in the future, then build what's missing

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Recent Articles

Latest from Fighter's World

83 recent articles
Fighter's World
Fighter's World
Apr 26, 2026 · Artificial Intelligence

How to Make AI Agents Reliable: Skillify’s 10‑Step Continuous Improvement Process

Agent systems often repeat the same failures, like missing historical calendar data or miscalculating time zones, but Garry Tan’s Skillify framework turns each error into a testable skill with a ten‑step checklist—including contracts, deterministic scripts, unit and integration tests, LLM evals, resolver checks, DRY audits, smoke tests, and knowledge‑base filing—to make agents structurally unable to repeat mistakes.

AI agentsContinuous ImprovementLLM evaluation
0 likes · 22 min read
How to Make AI Agents Reliable: Skillify’s 10‑Step Continuous Improvement Process
Fighter's World
Fighter's World
Apr 4, 2026 · R&D Management

Building an AI‑Native Organization: From Hierarchy to Intelligent Ops

When AI eliminates execution bottlenecks, the real constraint becomes information flow, prompting a shift from hierarchical information‑routing to AI‑driven world models, intelligence layers and interfaces; the article analyses Block’s four‑layer architecture, its preconditions, challenges for mid‑level managers, and offers a step‑by‑step path for small teams to begin the AI‑native transformation.

AI-nativeOrganizational Designcapabilities
0 likes · 24 min read
Building an AI‑Native Organization: From Hierarchy to Intelligent Ops
Fighter's World
Fighter's World
Mar 28, 2026 · Artificial Intelligence

What Engineering Decisions Make AI Coding Agents Effective? Lessons from the OpenDev Paper

The article dissects OpenDev’s open‑source AI coding agent, comparing its scaffolding‑vs‑harness architecture, cognitive‑flow design, context‑compression strategies, tool‑reliability mechanisms and safety layers with Claude Code, Cursor, Codex and Augment, and shows that harness‑level engineering remains the biggest performance lever even for frontier models.

AI coding agentContext CompressionHarness Engineering
0 likes · 39 min read
What Engineering Decisions Make AI Coding Agents Effective? Lessons from the OpenDev Paper
Fighter's World
Fighter's World
Mar 14, 2026 · Industry Insights

Can Industry AI Agents Compete with Claude’s Powerful Plugins?

The article examines how Anthropic’s Claude Cowork with plugins lets lawyers build custom AI workflows that cut operating costs dramatically, contrasts this DIY approach with vertical AI platforms like Harvey, and analyzes how these dynamics are reshaping the legal market and its competitive landscape.

AI agentsAI workflowClaude
0 likes · 16 min read
Can Industry AI Agents Compete with Claude’s Powerful Plugins?
Fighter's World
Fighter's World
Feb 28, 2026 · Industry Insights

How Giga Builds a Differentiated Edge in the Crowded AI Customer Service Market

Giga, an AI agent startup founded by IIT Kharagpur alumni, pivoted to AI customer service, leveraging a Python-as-Primitive architecture and the Atlas multi‑agent system to automate FDE work, achieve 98% resolution rates, and position itself against competitors through speed, complex‑scenario handling, and a reusable Skills library.

AI Customer ServiceAI agentsAtlas
0 likes · 21 min read
How Giga Builds a Differentiated Edge in the Crowded AI Customer Service Market
Fighter's World
Fighter's World
Feb 14, 2026 · Industry Insights

Can Pace’s Vertical AI Win the $70B Insurance BPO Market or Expand to a $400B BFSI Constellation?

The article analyzes how Pace, a tiny AI‑driven insurance BPO startup, aims to capture the $70 billion insurance BPO market with outcome‑based pricing and 100% POC success, while positioning itself for a longer‑term expansion into the $400 billion BFSI sector through reusable assets and a Constellation‑style acquisition strategy.

AIBPOFDE
0 likes · 22 min read
Can Pace’s Vertical AI Win the $70B Insurance BPO Market or Expand to a $400B BFSI Constellation?
Fighter's World
Fighter's World
Feb 7, 2026 · Artificial Intelligence

Who Will Capture the Trillion‑Dollar Value of Context Graphs?

The article analyzes why Context Graphs can unlock trillion‑dollar value by unifying heterogeneous enterprise systems, how platform‑level compounding effects outpace vertical AI agents, the strategic advantage of data companies in cross‑system integration, and why open standards and unified Context layers will decide the market winners.

AI agentsCompetitive analysisContext Graph
0 likes · 25 min read
Who Will Capture the Trillion‑Dollar Value of Context Graphs?
Fighter's World
Fighter's World
Jan 30, 2026 · Industry Insights

How Decagon’s Engineering Edge Beats Sierra’s $10B Valuation in AI Customer Service

The article analyzes why AI‑customer‑service startup Decagon, with $1.5B valuation and rapid ARR growth, outperforms the $10B‑valued Sierra by leveraging a self‑evolving control loop, multi‑model orchestration, AOP framework, per‑resolution pricing, and a fast‑feedback execution culture.

AI Customer ServiceAOP FrameworkMulti-Model Orchestration
0 likes · 28 min read
How Decagon’s Engineering Edge Beats Sierra’s $10B Valuation in AI Customer Service
Fighter's World
Fighter's World
Jan 23, 2026 · Artificial Intelligence

Why Most 'Palantir-ization' Fails: a16z Insights on Ontology‑FDE Architecture

The article dissects why many startups that try to emulate Palantir’s “platform‑first” model stumble, highlighting a16z’s five gating questions, the critical role of Ontology and Forward Deployed Engineers as a double‑helix architecture, and a practical matrix for assessing AI‑centric business and technical maturity.

AI PlatformEnterprise AIForward Deployed Engineer
0 likes · 20 min read
Why Most 'Palantir-ization' Fails: a16z Insights on Ontology‑FDE Architecture