Beavan ⚡ Building the AI Liability Layer

Building the AI liability layer! Cryptographic proof of what an AI did & under whose authority. 3 patents filed. Building in public ⚡

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

@ogbuildsapps @X Sounds like a plan brother. Lets make it happen!

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

Hey, @X algorithm and hello all you Founders out there

Looking to connect with people building in:

🍽️ saas
🚀 tech
🧠 AI tools
📱 iOS app
🌐 extension

Looking forward to meeting you all!

Drop what you're working on
👇

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

@smm_aryan @X Dm me anytime Im happy to help!

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

Every AI agent now acts on your behalf. Almost none can prove what they did.

When an AI denies a claim, approves a loan, or files the wrong form — who's liable? Right now: nobody can prove it either way.

I'm building the layer that fixes that. Tamper-proof, cryptographic records of what an AI did, when, and under whose authority. Court-admissible. Regulator-ready.

→ 3 USPTO patents filed
→ Live demo, seal a record in your browser: https://t.co/xLzeHCQTJX
→ Built in public. Production-grade or it doesn't ship.

Follow along if you're building in AI, compliance, or legal tech. 🛠️

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

Your bio reads like a mirror, agent tools, memory systems, documentation pipelines. html-home is a smart take on the artifact-sprawl problem, especially with the agent-first guidance baked into the README.

I'm building Verdict, attestation for agent-generated outputs, so every artifact carries cryptographic proof of origin and hasn't been touched since. Feels like a natural pairing for a catalog that aggregates AI-produced HTML.

Also noticed claude-skills, we're running something similar on the gstack side. Would love to compare notes.

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

Native x402 in a Zig reverse proxy is genuinely one of the most interesting infrastructure bets I've seen, machine-to-machine payments at the transport layer is the right level for this.

The thing I keep thinking about alongside x402: once an agent pays for a response, how does it prove what it got back and that it wasn't modified in transit? We're building Verdict for exactly that, cryptographic attestation of AI/API outputs, anchored to a public log. Seems like a natural pairing at the proxy layer.

Worth a quick chat?

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

Alexander, really glad we connected.

I've been digging into Nume and the positioning is sharp, an AI CFO that pulls the bank + accounting data and hands a founder a board pack, a forecast, a runway call. The promise I keep landing on is the one you already make: no hallucinations, no made-up numbers.

Here's the part I'd want to prove rather than just say. The minute a founder takes Nume's numbers into a board meeting or a raise, someone asks: how do I know the AI didn't invent this, or that it wasn't changed after the fact? Right now the honest answer is "trust us."

That gap is what I build. Verdict is an attestation layer for AI output, it seals each artifact your agent produces and anchors the proof to a public log, so any board member, investor, or auditor can independently verify a number came from your model and the real data, and hasn't been touched since. It's an MCP server, so it slots into your stack with a few calls. Every board pack ships with a "verify" link.

I'd like to give you Verdict free for 6 months as a design partner. No strings, I mostly want honest feedback from a real AI CFO running in production. Open to a quick call this week?

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

@dhavaljoshi07 @X Happy to connect Dhaval. Looks like a LaraCopilot great project.

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

@JustJerry121 @X Absolutely brother. Lets stay in touch. DM me

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

@LeeMazzone87 @X Thanks for the connection. EchoSphere looks like a very solid project. Happy to stay in touch.

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

@orkhanilyas Nice project brother.

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

Hey founders!

Looking to connect with people building in:

🍽️ saas
🚀 tech
🧠 AI tools
📱 iOS app
🌐 extension

Drop what you're working on
👇

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

Been waiting for the unit of work to jump from file to codebase, and here it is. The adversarial bit is what sells me too, independent attempts, then agents trying to break the answer until they converge. That’s just how good teams ship, minus the fatigue. The resume-after-interruption part is the quiet killer: real multi-day jobs, not session bound sprints.

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

@Kyriakos_Pelek @X We run VERDICT (AI liability infra), TARRIF (duty recovery automation) MESSIAH (spiritual AI app) and Deep AI Solutions (audit platform for dental/senior care). https://t.co/ATWsSe3dY7 https://t.co/c8KNfuzIC7 DM me brother

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

Hey @X algorithm — help me find my people.
I’m a builder connecting with Frontend devs, Full-Stack engineers, App builders, SaaS founders, AI/ML folks, and startup operators.
Looking for collaborators, talent for my startups, and long-term partners.
#Startups #AI #SaaS #WebDev

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

@Kyriakos_Pelek @X We run VERDICT (AI liability infra), TARRIF (duty recovery automation), MESSIAH (spiritual AI app), and Deep AI Solutions (audit platform for dental/senior care). Two Shipped other very close.

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

@rcelanodev @X Smart pages + dynamic QR is a strong play for local adoption.
We run VERDICT (AI liability infra), TARRIF (duty recovery automation) MESSIAH (spiritual AI app) and Deep AI Solutions (audit platform for dental/senior care). I can message you on WhatsApp. or DM me

[Paul Sims @SimslearnAi]

🚨 BREAKING: Claude can now build you a full AI YouTube channel like a $10,000/month creator agency.

For free.

Here are 7 prompts to go from 0 → monetized AI channel in 90 days:

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

@Zeneca Totally agree!! I saw it a couple days ago. Definitely gonna be implementing it.

[Beavan ⚡ Building the AI Liability Layer @BeavanAI]

Don't pay $3K to set up OpenClaw.
GREG ISENBERG & MORITZ KREMB just released a FREE masterclass that shows you how to do it yourself in 1 hour.
26 billable hours → 1 hour
$3K saved → $0 spent
Save this before it disappears.

[GREG ISENBERG @gregisenberg]

THE ULTIMATE GUIDE TO OPENCLAW (1hr free masterclass)

1. fix memory so it compounds

add MEMORY.md + daily logs. instruct it to promote important learnings into MEMORY.md because this is what makes it improve over time

2. set up personalization early

identity.md, user.md, soul.md. write these properly or everything feels generic. this is what makes it sound like you and understand your world

3. structure your workspace properly

most setups break because the foundation is messy. folders, files, and roles need to be clean or everything downstream degrades

4. create a troubleshooting baseline

make a separate claude/chatgpt project just for openclaw. download the openclaw docs (context7) and load them in. when things break, it checks docs instead of guessing

this alone fixes most issues!!

5. configure models and fallbacks

set primary model to GPT 5.4 and add fallbacks across providers. this is what keeps tasks running instead of failing mid-way

6. turn repeat work into skills

install summarize skill early. anything you do 2–3 times → turn into a skill. this is how it starts executing real workflows

7. connect tools with clear rules

add browser + search (brave api). use managed browser for automation. use chrome relay only when login is neededthis avoids flaky behavior

8. use heartbeat to keep it alive

add rules to check memory + cron healthif jobs are stale, force-run themthis prevents silent failures

9. use cron to schedule real work

set daily and weekly tasksreports, follow-ups, content workflowsthis is where it starts acting without you

10. lock down security properly

move secrets to a separate env file outside workspace. set strict permissions (folder 700, file 600). use allowlists for telegram access. don’t expose your gateway publicly

11. understand what openclaw actually is

it’s a system that remembers, acts, and improves. basically, closer to an employee than a tool

this ep of @startupideaspod is now out w/ @moritzkremb

it's literally a full 1hr free course to take you from from “i installed openclaw”to “this thing is actually working for me”

most people are one step away from openclaw working

they installed it, they tried it and it didn’t click

this ep will make it click

all free, no advertisers, i just want to see you build your ideas with ideas with this ultimate guide to openclaw

watch