Slava Zeph@SlavaZeph

Most AI agents generate answers. XIO ProofOps generates defensible business evidence. Regulated teams cannot ship AI output without an audit trail the regulator will accept. XIO ProofOps Agent is an autonomous proof workflow that turns a deck, contract, policy, or voice transcript into evidence a compliance officer can actually defend. Drop an artifact and eight agents run in sequence: Intake normalizes the matter, the Gemini Planner picks review lanes with structured-output JSON, the Compliance Reviewer flags guaranteed-outcome language and disclosure gaps, the BrainSNN Cognitive Risk Agent scores emotional activation, certainty pressure, trust erosion, and urgency compression directly from the input text (judges can paste their own copy and watch the score move), the Citation Verifier matches every authority reference, the Redline Agent — optionally routed through Featherless for sovereign open-weights inference — drafts safer language, the Approval Gate blocks export until human approval binds to sha256(output), and the Export Agent emits a DOCX proof pack containing findings, redline summary, the cognitive-risk receipt, output and approval hashes, and the full audit trail. Voice intelligence enters through Speechmatics so sales, investor, and compliance calls get the same compliance and cognitive-risk treatment as written documents. The app runs as a private compliance plane on Vultr — a real production URL judges can curl, not a screenshot. Most agents generate answers. XIO ProofOps generates the evidence the answer is allowed to ship.

CrumdBob is the missing flight recorder for IBM Bob development sessions. Every Bob run learns the codebase from scratch. That insight evaporates the moment the session ends, and the next agent — or human — has to rediscover the same files, risks, and architectural seams. CrumdBob turns every Bob session into a deterministic, hash-bound, replayable memory pack. Run `crumdbob pack` on a Bob report and you get nine CRUMB v1.4 files: a repo genome, flight recorder, next task, test plan, risk register, agent passport, replay prompt, PR summary, and a SHA-256 proof chain binding them all to the source. Any future agent — Bob, Claude, GPT, or a human — can `crumdbob replay` to resume with full prior context instead of rebuilding it. What's inside: • Multi-session SQLite memory with forward-only migrations, recurring-risk detection across sessions, file-coupling analysis, and predictive impact scoring on planned changes. • FastAPI dashboard with seven views (overview, sessions, insights, patterns, risks, trends, NL query). XSS-proof by construction — every render path uses DOM APIs, never innerHTML. • Rich terminal UI for eight commands with plain-text fallback. LLM integration via OpenAI and Anthropic, with response caching. • Enterprise observability: structured JSON logging with request-ID context vars, Prometheus /metrics, optional API-key auth, token-bucket per-IP rate limiting, OWASP security headers (CSP/HSTS/X-Frame), tamper-evident audit log, sanitized errors with correlation IDs. • Multi-stage Dockerfile (~110 MB, non-root, read-only root FS, dropped capabilities), GitHub Actions matrix across Python 3.10–3.13 on Linux and macOS, pre-commit gates for ruff, mypy, bandit, and pip-audit. 290 tests passing, 64.9% coverage, zero high-severity findings, zero known-vulnerable dependencies. CrumdBob makes "the AI already knows your codebase" actually mean something.

MindShield by BrainSNN is a browser-native cognitive security brain for enterprise AI. It turns content, prompts, documents, and agent actions into a live 3D brain state so teams can see manipulation pressure, trust risk, retrieval context, and defensive adaptation in one working system. Gemini 2.5 powers structured analysis of text and media, returning risk scores, evidence, reasoning, and recommended actions. Veea Lobster Trap gates every model prompt and MCP tool call, blocking prompt injection, PII, secret leaks, and unsafe destructive actions before they reach a model or agent tool. Red Team Simulator and Brain Evolve close the loop by testing the firewall against attacks, evolving better rules, and promoting stronger defenses without retraining a model. Multimodal RAG and Vector-Graph Fusion index text, images, tables, equations, and code into searchable enterprise intelligence.

XIO Compliance Brain helps lawyers, compliance officers, and regulated businesses review high-stakes documents — offering memoranda, KYC files, marketing decks, regulator letters, privacy memos, and contract clauses. Instead of producing one opaque chatbot answer (the failure mode of every generic legal-AI demo), it runs three AI reviewer perspectives in parallel against the same matter: • Regulatory Counsel — finds rule breaches, missing disclosures, and jurisdiction issues against NI 45-106 / OSC Rule 45-501 / NI 31-103 • Risk Officer — scores severity, investor exposure, and operational risk • Evidence Auditor — verifies citations, flags stale or jurisdictionally mismatched authorities, and refuses to sign off on unsupported claims A synthesis pass surfaces where reviewers agreed, diverged, and what the human owner should do next. An optional Round 2 has each voice defend, update, or concede their stance based on the synthesis. Every finding cites a retrieved authority. Outputs are bound to a SHA-256 hash before approval. Export of DOCX, redline PDF, and CRUMB-style audit handoff packs is gated on hash-confirmed sign-off. Every audit row stamps which inference engine served the matter, so a review run today on AMD/Qwen has the same audit shape as one tomorrow on OpenAI. The full ensemble — three reviewers, synthesis, and optional Round 2 — runs on a single AMD Instinct MI300X serving Qwen 2.5 72B via vLLM. 192 GB HBM3 is what makes parallel ensembles economical; cloud APIs would need roughly 4× H100s for the same workload (~$0.04 self-hosted vs ≈$8 cloud per Triad Review). Live: https://compliance-ai-amd-demo-production.up.railway.app/demo/judge Source: https://github.com/XioAISolutions/compliance-AI HF Space: https://huggingface.co/spaces/slavazeph/xio-compliance-brain-triad-review

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.