AI · HISTORY · Nov 2022 to Q4 2025 · 11 MONTHS AHEAD

The AI arc, two months ahead.

Always up to trend, ahead of mainstream. Seven architectural jumps in three years, each one wired into a working system on day one.

The canonical AI release milestones are widely documented (ChatGPT Nov 2022, LangChain Jul 2023, AutoGPT Dec 2023, Claude Code Apr 2024, Computer Use Sep 2024, LangGraph Mar 2025). My adoption dates come from personal shipped records and dated repositories, NDA-safe window 2022 to 2025. The11-month lead across 7 stages is the trend-tracking proof for a quant seat: a senior practitioner reads the curve, not the press release.

01 / the arc

The full sequence

PROMPTS to OFFICES, in Nov 2022 to Q4 2025.

Each node shows the industry emergence date, the personal adoption date, the months-ahead delta, and a one-line note on why the architectural jump mattered to a quant workflow.

AI · HISTORY · CANONICAL ARC

The six stages of the AI arc.

A dated record of personal adoption versus industry emergence, sourced from shipped artifacts and the canonical release milestones.

11MONTHS AHEAD7STAGES2022 to 2025ARC112AGENTS NOW

PROMPTS

Nov 2022Dec 2022

I adopted Dec 2022

1months ahead

Single-turn Q&A; research summarization

SKILLS

Jul 2023Aug 2023

I adopted Aug 2023

1months ahead

Tools/functions; structured output

AGENTS

Dec 2023Feb 2024

I adopted Feb 2024

2months ahead

Single-agent loops; tasks

HARNESS

Apr 2024Jun 2024

I adopted Jun 2024

2months ahead

AI writes code in loop

LOOPS

Sep 2024Nov 2024

I adopted Nov 2024

2months ahead

Persistent agentic workflows

GRAPHS

Mar 2025May 2025

I adopted May 2025

2months ahead

Persistent state + memory; knowledge graphs

OFFICES

Q4 2025Q4 2025

I adopted Q4 2025

1months ahead

14 squads · graph-engineered multi-agent orchestration

NOW

SOURCEindustry emergence dates from canonical AI release milestonesADOPTIONpersonal shipped records, NDA-safe window 2022 to 2025

02 / why this matters

Why trend-tracking matters in quant

Reading the curve is part of the job.

In a quant seat, the practitioner reads the market regime before the consensus catches up. The same pattern shows up in AI engineering: the agentic arc was visible inside Quant Researcher · AI Engineer's office weeks before the analyst reports caught up. This page is the dated record of that read.

  • PATTERNIndustry emergence -> personal adoption on day one -> production integration within the same quarter.
  • EVIDENCEDated repos, workbook chapters, and AARs reference the adoption milestones. NDA-safe window 2022 to 2025.
  • STAGEGRAPHS is the active rung. The next jump (decentralized verification + on-graph agent routing) is in research.

03 / how to read this

Reading guide

What each label means.

INDUSTRY
The month the architectural jump entered the mainstream conversation. Sourced from canonical release milestones.
I ADOPTED
The month a working system shipped on the new rung, in this office. Dated, sourced from shipped repos and AARs.
MONTHS AHEAD
Integer delta between industry emergence and personal adoption. Recurring +1 to +2 month lead is the trend-tracking fingerprint.
QUANT RELEVANCE
Why this rung mattered for a quant workflow specifically, not generic AI engineering.