| title | Vectors Are All You Need — A First-Principles Guide to How AI Works | |||||
|---|---|---|---|---|---|---|
| author | Raghav Dixit | |||||
| source | https://x.com/_raghavdixit_/status/2074930760155312172 | |||||
| date | 2026-07-08 | |||||
| type | explainer | |||||
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An AI-powered competitive intelligence agent built in Cowork/Claude Code that monitors, analyses, and delivers actionable intelligence on Tide's competitive landscape — across both business banking/platform and acquiring.
Team: George Schmidt / Samson Muhangi Goal: Working prototype with real data.
From M-Scale Tools to Autonomous Agent Team Members
Transform engineering teams from human-only structures to hybrid human-agent teams where autonomous specialist agents function as actual team members—taking ownership of specific domains, participating in planning, and contributing to team success alongside human colleagues.
The classic M-scale covers M1–M5, where humans use AI as a tool. The extended scale goes further — where AI becomes a peer, then a domain owner.
Objective: Transform current 27-person structure to AI-leveraged teams focused on senior expertise + AI execution.
- Scope: Technical leadership across all 4 teams
- Focus: Architecture alignment, engineering standards, AI adoption strategy
- Reports to: VP Engineering
Objective: Transform engineering organisation from traditional structure to AI-amplified, outcome-focused teams.
- Shift to a leaner, higher-leverage engineering model with fewer but more senior AI-Native and FullStack engineers
- Prioritise hiring engineers who can operate across product, platform, data, and AI-enabled delivery workflows
- Upskill existing engineers through structured AI and FullStack capability development workshops
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