The Problem

The model was fine.
The mammals were not.

We published an internal paper titled "The Model is Fine. The Mammals Are Not." It remains our most-cited internal document.

When we started Agnost, the mission was straightforward: build self-healing infrastructure for AI agents. Detect failures in real time. Diagnose root cause. Deploy fixes automatically.

We did that. Our intent classifiers outperform every benchmark we've tested against. Detection latency is sub-200ms. Integration takes three lines of code.

But something kept bothering us. Every time we ran a root cause analysis on an AI agent failure, the trace didn't end at the model. It didn't end at the retrieval pipeline. It didn't end at the prompt. It ended at a person.

We started tracking this. Across every customer. Across every failure. The data was unambiguous.

91% of AI agent failures had a human root cause.

Not a model hallucination. Not a retrieval miss. A human decision that created the conditions for failure. The PM who rewrote the prompt 14 times. The engineer who deployed at 5:47 PM on a Friday. The CEO who told the board "99% accuracy" when the real number was 74%.

We were treating the symptom. The disease was biological.

847 Days of R&D

From software
to wetware.

In April 2024, we hired our first neuroscientist. Internal codename: Project Mammal.

APR 2024
Neural Division formed
4 neuroscientists. 1 biomedical engineer from a company we can't name (but you can guess). He said he "wanted to work on something that would actually ship."
JUL 2024
First neural classifier built
Discovery: human prefrontal cortex exhibits the same confidence-accuracy mismatch during hallucinations that we detect in LLM outputs. The math is nearly identical.
NOV 2024
NeuroFusion NF-7 chip taped out
847 models. 1,024 electrodes. On-device inference only. Your hallucinations stay private.
FEB 2025
First human implant
45-minute outpatient procedure. Local anesthesia. The first subject was a product manager. (The engineers refused to go first. We respect that.)
DEC 2025
Closed trials complete
12 participants. 4 companies. All product managers. 90 days of data. Zero Friday deploys in the trial group.
APR 2026
Public waitlist opens
Today. You're reading this. The future of reliable AI systems starts with reliable humans.
Bonus Feature

Git Commit
Sentiment Analysis

The N1 monitors commit messages for signs of developer breakdown.

SEVERITY: LOW"fix: minor update"
SEVERITY: MED"fix: actually fix the thing this time"
SEVERITY: HIGH"fix: I swear this works now please god"
CRITICAL"fix: f*** it rewriting everything from scratch"
NUCLEAR"."

The paper behind the product.

Journal of Neural Engineering · Vol. 12 · 2026 DOI: 10.1038/s41467-026-N1-0001

Sub-threshold Cognitive Intervention via Iridium Electrode Array: Real-time EEG Anomaly Classification and Suppression in Decision-Fatigued Knowledge Workers

Abstract
We present the N1 Cognitive Implant, a 23mm titanium-encased neural interface embedding 1,024 PEDOT:PSS-coated iridium electrodes on a 4nm NF-7 neural processor. In a 90-day double-blind trial across 12 participants (all product managers; engineers declined participation citing "bad vibes"), we demonstrate 91% reduction in high-confidence erroneous decisions, classified via prefrontal EEG delta-wave suppression. The system operates at 0.3ms latency, intervening sub-perceptually via sub-threshold galvanic stimulation. Subjects reported a "warm pressure" sensation described variously as "my conscience, but faster" and "the feeling right before you realise you were wrong." Friday production deployments were eliminated entirely in the intervention group (vs 3.2/week in control). We conclude that the primary failure mode of modern AI systems is the human in the loop — and that the human in the loop can, in principle, be debugged.
Fig. 1 — EEG signal classification accuracy across 12 trial subjects. Red: pre-intervention anomaly rate. Green: post-N1 suppression baseline. Shaded region: 95% CI. n=12, p<0.0001, α=0.05.
Fig. 2 — Decision quality index (DQI) over trial duration. Week 1 shows adaptation period ("the device feels weird and I kept saying yes to things"). Full suppression plateau reached at day 18 ± 3.2 days. Error bars: SEM.
neural interface cognitive augmentation EEG classification decision fatigue iridium electrodes sub-threshold stimulation PM intervention wetware

This was not meant to be public.

Confidential · Project Mammal · Internal Only
TO:[email protected], ████████████@agnost.ai
DATE:2025-11-04 · 23:47 GMT
SUBJECT:Re: Re: Re: The idea — we're actually doing it
THREAD:47 messages · Started: 2025-09-12

ok hear me out. the 91% number is real. i ran it on 14 months of agent logs. 91% of the failures were a human decision upstream. not the model. the human. the PM who changed the prompt at 4pm on a thursday. the eng lead who approved the infra change without reading the rollback plan. us, basically.

so what if we just... fixed the human? not metaphorically. literally. i've been reading the neuralink filings, the blackrock neurotech data, the PEDOT:PSS electrode work out of ████████████. the latency profile on prefrontal cortex stimulation is actually already good enough for what we need.

the product is simple: classify the EEG signature of "bad decision about to be made." suppress it. sub-perceptually. the user never knows. they just... pause. reconsider. don't send the slack message. don't push to prod on friday.

i know what you're going to say. legal. ethics. FDA. yes. i know. but ████████████████████████████████ and frankly that's everyone's problem now, not just ours.

the site goes live april 1st. the paper is half done. shubham can you get the electrode array renders done by the 28th.

— P

Founders, Agnost Neural [email protected] · agnost.ai/neural
LEAKED

Are you N1-eligible?

Clinically-validated* 4-question diagnostic. Takes 60 seconds. Results are binding.
*not clinically validated



One brain. Three tiers.

N1 Standard
Individual
"For people who make bad decisions alone."
$49,000
ONE-TIME · IMPLANT INCLUDED
  • 1,024 iridium electrodes
  • Prefrontal anomaly detection
  • Friday deploy suppression
  • Bluetooth 5.3 telemetry ring
  • 45-min outpatient procedure
  • Multi-user sync
  • Board meeting mode
  • Executive override
N1 Enterprise
Organisation
"For companies that have structurally accepted mediocrity."
Custom
VOLUME · PROCUREMENT TEAM REQUIRED
  • Everything in Pro
  • Executive override capability
  • Org-wide decision analytics
  • Compliance mode (EU AI Act)
  • Dedicated neural ops team
  • SLA: 0.3ms intervention guarantee
  • Annual "Brain Summit" invite
  • On-prem inference option

All prices in USD. Includes device, procedure, and first-year firmware licence.
HSA/FSA eligible pending FDA clearance (currently: pending).
Insurance coverage: ask your provider. Most say no. We understand.

As covered by
Tech Publication
"We're not sure if this is legal. We're not sure if it should be. It might be the most interesting thing we've seen all year — and we cover phone releases for a living."
Technology Review
"The N1 represents a genuine inflection point in human-computer interaction. The electrodes are real. The data is compelling. The company's legal situation is unclear."
Developer Community
"Ask HN: Is this legal? (2,847 comments)" — #1 on front page for 11 hours. Top comment: "I would use this immediately."
Startup Media
"The startup that wants to fix product managers with a brain chip has raised no money, published one paper, and somehow has 2,800 people on a waitlist. Silicon Valley is a place."
Financial Press
"Agnost Neural's N1 implant sits at the uncomfortable intersection of medtech regulation, employment law, and the enduring human desire to avoid bad Slack messages."
Product Community
"#1 Product of the Day · #1 Product of the Week · Upvote count: [redacted by moderators pending ethics review]"

Join the waitlist.

First 1,000 signups get priority implant scheduling and a complimentary "I Fixed My Hallucinations" tee.

2,847 humans on the waitlist. Mostly PMs.

Happy April Fools.

The brain implant is a joke.

The broken AI agents are very, very real.

Agnost is self-healing infrastructure for AI agents in production. We detect failures in real time, diagnose root cause, and deploy fixes automatically. Three lines of code. Sub-200ms latency. That part wasn't a joke.

Visit the real Agnost →