An autonomous AI orchestration platform that generates, tests, and validates production-quality work across 75+ domains and 18 industries — from software engineering to mechanical, chemical, biomedical, and aerospace engineering.
Not just software — SHAH validates work across 18 industries: mechanical (FEA, CFD, robotics, CNC), electrical (VHDL, SPICE, DSP), chemical (reaction kinetics, distillation), biomedical, aerospace, civil engineering, and more.
From Python and Rust to COBOL and Ada. Each language has a dedicated Docker sandbox, test framework, and L2 validation pipeline. 921 software engineering tests across all 23 languages.
One brain, every channel: WhatsApp, Telegram, Slack, Discord, Signal, Email (Gmail + Outlook), and this website. Plus generic webhooks for custom integrations. 31 built-in tools, shared memory, and unified CRM across all channels simultaneously.
The autonomous runner launches 3,000+ tests, triages failures with AI, applies fixes, and re-runs. It runs unattended for days, converging toward 100% pass rate. Every fix is committed and tested automatically.
LLM-powered process mining discovers business stages from email history. CRM tracks every interaction across all channels. Email autopilot drafts replies (never sends without approval). Digital twin learns your writing style. Proactive morning briefings and evening digests.
Persistent cross-session memory. 5 built-in personalities + unlimited custom. Autonomous agent mode (up to 8 hours unattended). Semantic search across all your documents. MCP extensibility. AWS website deployment. Free image generation, voice synthesis, and transcription.
Message arrives via any channel (Telegram, Discord, website, email, etc.)
Gateway classifies the request and selects the optimal AI provider and model
Supervisor plans the task, worker executes with 31 tools (file I/O, bash, search)
Docker sandbox runs tests, security scans, and integrity checks automatically
Results returned to the original channel with full execution log and artifacts
Each domain has validated test cases with Docker-sandboxed execution. From 23 programming languages to FEA solvers, circuit simulators, and drug design.
Not a chatbot. A personal AI operating system with unified memory, multi-channel presence, and proven code execution.
No other AI proves its code works. SHAH runs 3,000+ tests in Docker sandboxes and grades every output A++ to F. You see the test results, not just the code.
Send a task on WhatsApp, get the update on Telegram, review results on Slack. Same memory, same personality, same context — no re-explaining.
Works independently for up to 8 hours. Breaks complex tasks into sub-tasks, executes with 31 tools, and sends progress updates. No babysitting required.
Discovers business processes from your email history. Learns your writing style. Drafts replies indistinguishable from you. Remembers everything, forever.
FEA stress analysis, SPICE circuit simulation, drug molecule design, orbital mechanics, Lean 4 theorem proving. 75+ domains across mechanical, chemical, biomedical, and aerospace.
3-layer defense: prompt injection detection, PII redaction, output leak scanning. Website visitors get restricted tool access. Your private data stays private.
Real tasks you can give SHAH. Each one triggers multiple tools, searches, and actions automatically.
“Analyze my last 3 years of email with insurance clients. Discover every stage a deal goes through, how long each takes, where deals stall, and which templates close fastest. Then draft a follow-up for every stale thread over 14 days.”
“Find all contacts who work in fintech from my LinkedIn, email, and WhatsApp. Draft a personalized outreach message for each one matching my writing style, send via their preferred channel, and schedule follow-ups for anyone who doesn't reply in 3 days.”
“Build a Rust WebSocket server with JWT auth, rate limiting, and connection pooling. Generate the code, write 40 tests, run them in Docker, and if anything fails, fix it until every test passes. Send me the graded result on Telegram.”
“Research the top 5 competitors in the AI agent framework space. For each one, find their GitHub stars, last commit date, pricing, key features, and weaknesses. Compile into a PDF report, publish a summary on the website, and email it to the team.”
“Design a heat exchanger for a 500kW cooling system. Generate the LMTD calculations in Python, validate with ASME thermal standards, run a CFD mesh quality check, and produce a technical spec PDF with all parameters.”
“Every morning at 7:30, check my unread emails, draft replies to anything urgent, summarize overnight Slack messages, pull today's calendar from my inbox, search for news about my industry, and send me a briefing on WhatsApp before I wake up.”
“I'm meeting with Acme Corp tomorrow. Pull everything we have — emails, LinkedIn messages, CRM interactions, any documents. Search the web for their latest news, funding rounds, and leadership changes. Generate a one-page briefing and read it to me as audio.”
“Write an article about how AI is transforming the insurance industry. Use my writing style from past emails. Include 3 real data points from web research. Publish it on the website, generate a social media summary, and send it to my LinkedIn contacts.”
“Spend the next 4 hours researching drug-protein interaction databases. Write Python scripts to parse PDB files, run molecular docking simulations, validate binding affinity calculations, and compile results into a research report. Update me every 15 minutes.”
SHAH doesn't just generate code — it fixes its own infrastructure when tests fail. 46+ autonomous commits, zero human involvement.
Run orchestrator on a test case
Claude Code investigates failure with full codebase access
Edits SHAH's own source code and commits the fix
Test again — fix must make test pass or it's discarded
165 lines of XCTest sandbox integration written from scratch. SHAH had never run Swift tests before — it analyzed the failure and built the entire validation path.
200+ lines rewriting the test generator for Free Pascal's unit system. Pascal's compilation model is completely different from C-family languages.
Fixed error extraction to match Rust's error[E0xxx]: format.
Two small fixes that unblocked all 40 Rust tests from N/A to A++.
31 built-in tools, all accessible from any channel via natural language.
SHAH can generate production-quality code in 23 programming languages, run it in isolated Docker sandboxes, execute automated test suites, and grade the result from A++ to F. You can also run quick Python scripts and read any file from a previous project.
SHAH can send messages to your contacts via WhatsApp, Telegram, Slack, Signal, or Discord. It looks up contacts by name across all your address books, merged and deduplicated from every source, and keeps track of every interaction in a built-in CRM with automatic topic detection.
SHAH can search through all your archived emails from Gmail and Outlook, send emails with attachments and CC, draft replies to messages that need your attention, and run an autopilot that generates responses — but never sends without your explicit approval.
SHAH can search the internet for current information, read and extract content from any web page, and perform semantic search across all your indexed documents — emails, LinkedIn messages, chats, contacts — to find exactly what you need.
SHAH can generate images from text descriptions, create PDF documents from markdown, read PDFs and Word files (with OCR for scanned images), transcribe voice messages to text, and generate natural-sounding speech in 12+ languages — all using free APIs, no extra cost.
SHAH maintains persistent memory across all conversations and channels. Tell it something on WhatsApp, it remembers on Telegram. It auto-learns facts from your conversations and can adopt different personalities — 5 built-in or unlimited custom, even per-contact.
SHAH can schedule recurring tasks with cron expressions, send you morning briefings with unread emails and news, deliver evening digests summarizing your day, monitor prices hourly, and check that all your communication channels are healthy.
SHAH's autonomous mode can tackle complex research projects for up to 8 hours without supervision. It breaks tasks into sub-steps, uses all 31 tools, and sends you progress updates every 15 minutes. State is saved so it can resume if interrupted.
SHAH can analyze years of email history to discover your actual business processes — which stages a deal goes through, how long each takes, where things stall. It can also learn your exact writing style and draft messages that sound indistinguishable from you.
SHAH can publish blog posts, update pages, and manage site configuration on AWS-hosted websites. It can read and write to DynamoDB databases directly. This very website was deployed and is managed by SHAH.