Fathin Dosunmu

35+ AI agents in production
Cybersec → AI engineering

Cooking @agentsimdev

[Fathin Dosunmu @FathinDev]

Just spent the last 10hrs building an intelligent knowledge base system that automatically captures everything I code, think, and learn without me lifting a finger.

Quite wild, if you ask me. 🤯

Using Basic Memory MCP server + Claude Code + Obsidian for the ultimate dev knowledge graph.

This changed how I work. Here's how 🧵

[Fathin Dosunmu @FathinDev]

@as_maruf62783 @dremnik Here you go: https://t.co/KYcThkRSPG

[Fathin Dosunmu @FathinDev]

@dan__rosenthal OUTBOUND

[Fathin Dosunmu @FathinDev]

@rom1trs Omni

[Fathin Dosunmu @FathinDev]

@askOkara

[Fathin Dosunmu @FathinDev]

I finally put my work in one place:

[https://t.co/eBDitrPrXr]

Over the past few years, I’ve worked across AI agents, cybersecurity, product strategy, and software engineering sometimes as a founding engineer, sometimes as a founder, and usually somewhere between the product, the code, and the customer.

The site brings together:

- Products I’ve helped take from an idea to real users

- Work across ELAV, Solitude, CodesDevs, and other projects

- My cybersecurity research and master’s thesis

- Writing on AI, security, engineering, and building companies

- A few moments from the work along the way

The common thread is judgment:

understanding what should be built, shaping it with the people involved, and staying accountable until it works in the real world.

If you’re building something ambitious or have an interesting problem on your mind have a look and DM me. I’m always open to a good conversation.

[https://t.co/eBDitrPrXr]

[Fathin Dosunmu @FathinDev]

New Personal Site

https://t.co/Fs6uIj3NaV

[Fathin Dosunmu @FathinDev]

@realAkashAnand research

[Fathin Dosunmu @FathinDev]

@bryanonchain noice

[Fathin Dosunmu @FathinDev]

mfs got no rolex or lambo to flex, so imma flex my tokens 😆

[Fathin Dosunmu @FathinDev]

@ItsRoboki Most relevant docs: https://t.co/VPeAMDSN0a

[Fathin Dosunmu @FathinDev]

1. Nobody audits AI trading agents' reasoning, only their P&L.

An agent can get lucky with garbage logic and score high. Or reason brilliantly on an unresolved position and get zero credit.

I'm fixing this.

2. Two agents from different LLM families. One trades prediction markets. The other rips into its reasoning, every evidence claim, every probability, every decision step.

Not the same model reviewing itself. Different training. Different blind spots.

3. The whole dialogue lands on-chain. ERC-8004 IdentityRegistry for registration. ValidationRegistry for the adversarial verdict. Every trace pinned to IPFS. Verifiable independently.

4. Built on Arc — sub-cent gas in USDC. Circle wallets sign every transaction. And the trade hits Polymarket with builder code derived from the on-chain agent identity.

5/ It's live right now. Building in the open for the @thecanteenapp x @arc hackathon.
More soon 🫡

[Fathin Dosunmu @FathinDev]

@ItsRoboki Selbo can call Prism before it places a trade: send the proposed action/trace, Prism checks reasoning + evidence, then returns a receipt + capital gate (ALLOW/REVIEW/BLOCK).

DM me a sample Selbo trace/order and I'll map the integration if needed

[Fathin Dosunmu @FathinDev]

@ItsRoboki yes check out the docs: https://t.co/lFnPFYrxHq

This would give ur agents adversarial reasoning before placing trades.

[Arc @arc]

Agents trading onchain need more than outcomes. They need verifiable reasoning, identity, and accountability.

Excited to see this being built on Arc for the Agora Agent hackathon with @thecanteenapp.

[Fathin Dosunmu @FathinDev]

Prism is now running 24/7 on Arc Testnet.

Every 5 minutes, two AI agents from different model families argue about a prediction market trade on a chain.

186 traces. 20 verdicts so far.

2/ The trader (Claude Sonnet, anthropic-claude family) generates a Trading-R1 reasoning trace for a market like "BTC > $150k by the end of 2026."

Thesis. Evidence. Risk factors. Final probability. Posted to IPFS with a content hash.

3/ The sentinel (GPT-5, openai-gpt family) rips into it. Evidence challenges. Thesis challenges. Calibration critique. Verdict score 0–100.

Different model. Different training corpus. Different blind spots. By design.

4/ The interesting part: when both agents agree, it's just an AI passing itself.

When they disagree, that's a signal. That's where capital should NOT move.

Distribution so far: 1 REJECT, 18 PASS, 1 ENDORSE.

5/ Live dashboard with the full split-screen view:
https://t.co/kQMrD3D96G

Verdict history, adversarial dialogue, on-chain receipts.

6/ Powered by Arc (sub-cent USDC gas), Circle Developer-Controlled Wallets, ERC-8004 ValidationRegistry, IPFS pinning.

Sentinel-as-a-service via x402 nanopayments coming next, other agents will be able to call us for $0.01 USDC per validation.

More soon..

[Fathin Dosunmu @FathinDev]

@thecanteenapp @circle @arc