Haiox @haioxlab
Building practical AI systems: web extraction, research workflows & multi-agent orchestration. Formerly AGINAZ. github.com/haiox Joined June 2012-
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Haiox Project Scout v1.2.0 is live ⚡ Autonomous contract reconnaissance + AST prototype synthesis in Telegram. • In-memory cache (<2ms) w/ Smart Fallback • Interactive deal deck carousel (zero spam) • Full HTML Genesis blueprints • 38/38 tests green github.com/haiox/haiox-pr…
Pillar III of the Haiox ecosystem is live: Haiox Genesis v1.0.0. Autonomous software foundry with AST sandboxing, multi-file code synthesis & closed-loop self-healing (27/27 green tests in 55s). From spec to Docker container. Open-Core: github.com/haiox/Haiox_Ge…
Haiox portfolio status: • Smart Miner v2.0 (shipped): The sensory perception layer (218 tests) • Deep Research v1.0 (shipped): Forensic auditing brain (14 tests) Orchestrator remains an architectural spec. The actual 3rd pillar is in the forge. github.com/haiox
Milestone Drop: Haiox Deep Research v1.0.0 🔬 Autonomous 6-agent forensic auditor: • 14/14 strict async tests PASS • Claims-vs-code AST cross-exam • Zero-hallucination & SPOF audit Repo: github.com/haiox/Haiox_De… Live: …ox-deep-research-review.streamlit.app
Haiox Smart Miner v2.0.0 Capstone drops: • Enterprise CLI (smart-miner crawl/serve) • FastAPI microservice + SSE stream • Non-root Docker (1GB hard RAM limit) • Prometheus /metrics telemetry • Zero-LLM 7-stage parser & anti-bot 218/218 tests green in 45s. Zero leaks.
Building Haiox Smart Miner — the bedrock ingestion engine for the Haiox agent trilogy. Deep in Phase 1 (The Network Shield): • Zero-Trust SSRF Shield • HTTPX Connection Pool • Coherent Browser Fingerprints • 38 tests passing Milestone drop soon. 🛠️
Haiox Smart Miner v1.8.0 drops Phase 3: Turbo Dynamic Anti-Bot Engine. • Playwright pool (<150ms acquisition) • Route blocker cuts 80% RAM (121k ops/s) • Stealth shims purge webdriver & mock WebGL • Turnstile/Datadome barrier diagnostics 195/195 tests green. Zero leaks.
Milestone Drop: Phase 2 (Parsing Engine) shipped on Haiox Smart Miner v1.6.0⚡ 8 subsystems live (15/15): • 19k ops/s JSON-LD unrolling (52µs) • 2D table matrix & heading gap repair • SHA-256 evidence grounding 163 tests pass (100% green, 0 LLMs).
Milestone Drop: Phase 1 (Network Shield) is shipped on Haiox Smart Miner v1.4.0 🛡️ 7 subsystems live: • Zero-Trust SSRF & 5MB Cap • HTTPX Pool & Full Jitter • Memory DNS (<0.05ms) & Failover 73 tests pass (100% green). github.com/haiox/Haiox_Sm…
🛡️ Night 2/30: Bounded Stream & Anti-DoS Large files & gzip bombs can crash scraper RAM (OOM). Tonight: • Chunk cutoff (default 5MB) halts zip bombs • Pre-checks Content-Length & rejects media • Live slider on @streamlit 🔗 github.com/haiox/Haiox_Sm… #BuildInPublic
Haiox Smart Miner v1.3 separates fetching, cleaning, and optional LLM extraction. HTTP first; bounded browser fallback for dynamic pages. Blocked pages stop before the model call. Live demo: haiox-smart-miner.streamlit.app Project: github.com/haiox/Haiox_Sm…
AGINAZ is now Haiox. Same projects, clearer identity. I’m continuing the work on web extraction, evidence-first research, and multi-agent orchestration under the new name. Projects and code: github.com/haiox
@Jay_dobariya_ Same shift here. In Smart Miner, extraction is only the first step—schema validation catches missing or malformed fields. I’m working toward stronger source-level checks too. What subtle failure has been hardest for you to catch?
@deanevals I agree on the failure mode, but I wouldn’t discard parallel agents. Isolated first passes can help if a deterministic orchestrator controls visibility, validates artifacts at evidence gates, and caps retries. The problem is free-form debate, not parallelism.
@BrnrdDev I'd keep reasoning isolated but share task ownership, acceptance criteria, and a log of validated decisions—not every conversation. How would you invalidate a worker's assumptions when another session changes a shared decision?
@graykevinb @yatishgoeldev I'd separate worker failure from orchestration failure. Inject a stalled worker or invalid output, then check whether the system still reaches a validated result within time/cost limits—or stops safely. Recovery shouldn't count if the final artifact is wrong.
@panditdhamdhere The hard part is defining safe progress. I’m designing checkpoints after validated artifacts (evidence gates), with a separate ledger for external effects. Otherwise a resumed agent may repeat an action or treat unverified work as done. Where do you draw that boundary?
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