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Build logs, AST trees, and endless agentic loops. At some point during the 48-hour sprint, every developer asks: Is this actually solving a real-world engineering problem, or am I just over-engineering a high-tech tool?
With GraphWard AI, the answer became clear fast.
We didn't set out to build another generic AI wrapper that guesses its way through a pull request and hopes the build passes.
We built GraphWard AI to give agents structural eyes, using AST topological mapping and dependency graphs so AI can patch real security vulnerabilities and refactor code without quietly breaking downstream services.
Seeing it come together, from the live React Flow control room UI to closed-loop sandboxed verification, made the late hours worth it.
Huge thanks to lablab.ai, IBM, and NativelyAI for hosting the IBM Bob 2.0 Hackathon.
On to the next build! 🚀
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𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐁𝐚𝐫𝐛𝐞𝐫 𝐒𝐡𝐨𝐩 𝐁𝐨𝐨𝐤𝐢𝐧𝐠 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧
𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰
I built an end-to-end AI-powered booking and customer experience system for a barber shop using n8n, AI Voice Agents, Google Calendar, CRM, WhatsApp/SMS, and a real-time dashboard.
𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦
The business was losing opportunities through missed calls, manual scheduling, booking conflicts, slow follow-ups, and repetitive administrative work.
𝐓𝐡𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧
The AI Voice Agent handles customer calls, understands booking requests, checks live barber availability, and schedules appointments automatically. n8n manages the complete workflow, updates CRM records, sends confirmations and reminders, and keeps customer data synchronized across systems.
𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐕𝐚𝐥𝐮𝐞
The automation helps reduce missed booking opportunities, prevent double-bookings, lower administrative workload, improve response times, and create a smoother customer experience.
𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐦𝐩𝐚𝐜𝐭
The owner gains real-time visibility into appointments, staff availability, customer activity, and revenue, while staff can focus more on serving customers instead of managing bookings manually.
𝐑𝐞𝐬𝐮𝐥𝐭: 𝐚 𝐦𝐨𝐫𝐞 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫-𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐛𝐚𝐫𝐛𝐞𝐫 𝐬𝐡𝐨𝐩 𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐛𝐲 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧.
Booking conflicts are the bit I'd test hardest. What does the voice agent do when two people ask for the same barber and slot within a minute of each other?
𝗪𝗵𝘆 𝗖𝘂𝘀𝘁𝗼𝗺 𝗖𝗼𝗱𝗲 𝗦𝗻𝗶𝗽𝗽𝗲𝘁𝘀 𝗜𝗻𝘀𝗶𝗱𝗲 𝗡𝗼-𝗖𝗼𝗱𝗲 𝗧𝗼𝗼𝗹𝘀 𝗠𝗮𝗸𝗲 𝗬𝗼𝘂 𝗮 𝟭𝟬𝘅 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿
You don't need to be a full-stack engineer to build custom digital products, but knowing basic HTML, CSS keyframes, and JavaScript webhooks will give you superpowers in:
𝗪𝗼𝗿𝗱𝗣𝗿𝗲𝘀𝘀: 𝗖𝘂𝘀𝘁𝗼𝗺 𝗖𝗦𝗦,𝗛𝗧𝗠𝗟 & 𝗦𝗵𝗼𝗿𝘁𝗰𝗼𝗱𝗲𝘀
𝗙𝗿𝗮𝗺𝗲𝗿: 𝗙𝗿𝗮𝗺𝗲𝗿 𝗖𝗼𝗱𝗲
𝗪𝗶𝘅: 𝗪𝗶𝘅 𝗖𝗼𝗱𝗲 (𝗩𝗲𝗹𝗼) 𝗮𝗻𝗱
𝗦𝗵𝗼𝗽𝗶𝗳𝘆: 𝗟𝗶𝗾𝘂𝗶𝗱 𝗖𝗼𝗱𝗲.
All allows you to create custom API forms, micro-animations, and tracking pixels that standard builder blocks can't do.
𝗗𝗼 𝘆𝗼𝘂 𝘄𝗿𝗶𝘁𝗲 𝗰𝘂𝘀𝘁𝗼𝗺 𝗖𝗦𝗦 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗻𝗼-𝗰𝗼𝗱𝗲 𝗯𝘂𝗶𝗹𝗱𝘀? 𝗦𝗵𝗮𝗿𝗲 𝘆𝗼𝘂𝗿 𝘁𝗵𝗼𝘂𝗴𝗵𝘁𝘀!
Of course, Custom Codes gives flexibility to No-Code/Low Code Developer to build beyond restriction
Built Réseau during the Graph8 Hackathon!
Software teams use GitHub, Linear, and dozens of other tools, but their context is fragmented across platforms.
We explored a way to bring it all together.
Réseau is an AI-powered operations layer that uses MCP to connect engineering tools, consolidate project context, and enable more intelligent, evidence-backed workflows.
The interesting challenge wasn't just integrating AI with APIs. It was making AI agents context-aware enough to work meaningfully across existing development systems.
Built around AI agents, MCP, and developer workflow automation.
A challenging and rewarding two-day hackathon experience!
#AIEngineering #AIAgents #MCP #DeveloperTools
Which workflow came together best during the hackathon? I'd be interested to hear what Réseau could do with GitHub and Linear together that was awkward to do in either tool on its own.