PAI v2.4.0 Released — The Algorithm

[danielmiessler]

PAI v2.4.0 — The Algorithm

Our first attempt at a general problem solver built into PAI to pursue Euphoric Surprise.

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What is The Algorithm?

v2.4 introduces a structured, 7-phase approach to problem-solving. It's an experiment in making AI work more verifiable.

Most AI assistants work like this:

User asks → AI responds → Hope it's right

The Algorithm works like this:

User asks → Understand true intent → Build verifiable criteria →
Execute systematically → Verify against criteria → Learn from result

The idea is that if you can define testable criteria upfront, you can actually verify whether something worked.

The 7 Phases

Phase	Name	Purpose
1	OBSERVE	Gather information, understand current state
2	THINK	Analyze intent, desired outcome, failure modes
3	PLAN	Build Ideal State Criteria (ISC) - testable success conditions
4	BUILD	Construct the solution components
5	EXECUTE	Take action, track progress against criteria
6	VERIFY	Confirm all criteria met with evidence
7	LEARN	Capture insights, define next steps

Ideal State Criteria (ISC)

The core mechanism is exactly 8-word, binary-testable conditions that define success.

Why 8 words? It forces precision. You can't be vague in 8 words. Each criterion should be testable in under 2 seconds.

What's New in v2.4

Feature	Description
The Algorithm	7-phase problem-solving with ISC tracking
29 Skills	Up from 20—expanded domain coverage
15 Hooks	Refined hook architecture
331 Workflows	Comprehensive automation library
Improved Wizard	Better interactive setup with voice support
Voice Notifications	ElevenLabs integration for spoken alerts
Observability Dashboard	Real-time system monitoring
AllowList Enforcement	Security control for releases

The Goal: Euphoric Surprise

The target we're aiming for is Euphoric Surprise—results thorough enough that you're genuinely delighted, not just satisfied.

Whether it actually achieves this consistently is still being figured out.

Installation

git clone https://github.com/danielmiessler/PAI.git
cd PAI/Releases/v2.4

[ -d ~/.claude ] && mv ~/.claude ~/.claude-backup-$(date +%Y%m%d)
cp -r .claude ~/

cd ~/.claude && bun run PAIInstallWizard.ts

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Full release notes: Releases/v2.4/README.md

GitHub Release: v2.4.0

Feedback welcome. This is an experiment.

[ShaneDugas]

Updating now. Can't wait for this - Euphoric Surprise—results thorough enough that you're genuinely delighted, not just satisfied. I'm sure we all suffer from the frustration of "being almost there, but not quite".

[danielmiessler]

Just keep in mind this is my first attempt at this idea this isn't claiming I've achieved it

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On Sat, Jan 24, 2026 at 06:10, Shane Dugas < ***@***.*** > wrote: Updating now. Can't wait for this - Euphoric Surprise—results thorough enough that you're genuinely delighted, not just satisfied. I'm sure we all suffer from the frustration of "being almost there, but not quite". — Reply to this email directly, view it on GitHub ( #480 (comment) ) , or unsubscribe ( https://github.com/notifications/unsubscribe-auth/AAAMLXRZYOX3GVWP2V37BF34IN4M3AVCNFSM6AAAAACSXWCMCKVHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTKNJZGEZDINQ ). You are receiving this because you authored the thread. Message ID: <danielmiessler/Personal_AI_Infrastructure/repo-discussions/480/comments/15591246 @ github. com>

[ShaneDugas]

Nothing scientific, but my first take is - it's impressive. I used the algorithm for a mid-difficulty creative task from scratch, not code-based, and it gave, "plan-level output," in about four minutes. I will definitely experiment with this a bit more.