AI for when it IS rocket science

AI for when it IS rocket science

The context layer for 10x engineering

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Contextual AI is releasing Agent Composer, a new way to build AI agents for technical professionals—think engineers and scientists working in semiconductors, aerospace, manufacturing. With Agent Composer, our customers are cutting 8-hour technical tasks down to 10 minutes (e.g. root cause analysis, customer engineering, test code generation).
AI for when it IS rocket science gallery image
AI for when it IS rocket science gallery image
AI for when it IS rocket science gallery image
AI for when it IS rocket science gallery image
AI for when it IS rocket science gallery image
AI for when it IS rocket science gallery image
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Jay Chen
Hey Product Hunt! Jay here from Contextual AI. 👋 Today, we're launching Agent Composer—built for complex technical work! Building AI agents in 2026 isn't rocket science. But what if the work you're doing actually IS? If you've ever tried using AI for genuinely hard technical work, then you probably know how frustrating it is to watch agents confidently make things up and fail at routine engineering tasks. That's the problem we kept hearing from engineers in semiconductors, aerospace, and manufacturing. Turns out, when your job involves debugging device failures, analyzing propulsion test data, or tracing production defects, generic AI tools don't cut it. The models are capable. The problem is they don't have access to your technical documentation, specs, institutional knowledge, and specialized workflows. Agent Composer fixes that. It's where technical teams build AI agents that actually understand their domain to support complex engineering tasks. Key features: ⚙ 3 easy ways to create a new agent (Pre-built agent templates, Natural language agent generator, Fully custom blank canvas) ⚡️ Automatically optimize agent performance based on user feedback 🤖 Ability to combine dynamic agents with static workflows. Early results: 8-hour root cause analyses done in 20 minutes. Customer engineering issues resolved in 10 minutes instead of 8 hours. Test code generated in minutes instead of days. Curious to hear if this resonates. Try it out: 📄 Read the launch blog: https://contextual.ai/blog/intro... 🧪 Play with our demo agent: https://demo.contextual.ai/ ✍️ Sign up for an account: https://app.contextual.ai/?signup=1 Ask me anything in the comments!