-
“Where meaning meets motion — the ITP interprets, Runweaver executes.”
-
🧩 Detailed Outline —Runweaver. Inspiration Problem recognition — teams waste hours translating vague requests into structured plans. Personal frustration — watching chaos derail projects sparked the idea. Vision — build a reasoning engine that turns ambiguity into clarity. Guiding principle: Chaos in — Coherence out.What We BuiltReasoning layer — decomposes messy intent into structured steps. Workflow graph — visualises tasks, dependencies, and logic.Verification layer — checks for contradictions and missing prerequisites. Integration layer — connects Slack, Jira, Notion, GitHub, and APIs. Execution engine — runs workflows live, tracks progress, and supports human‑in‑the‑loop approvals.How We Built ItArchitecture: modular reasoning → verification → execution pipeline.Tech stack: Python, FastAPI, React, and OpenAI API for structured reasoning. Design focus: clarity, reliability, and verifiability. Workflow model: directed acyclic graph (DAG) with node‑state tracking.Testing: simulated incident‑response and onboarding workflows. Challenges, Teaching AI to maintain logical coherence instead of just generating text. Designing a verification layer that catches contradictions before execution. Integrating multiple APIs while keeping workflows editable and human‑friendly. Balancing automation with human oversight. What We Learned, AI reasoning needs structure, not just language. Verification is the key to trust in automation. Clarity beats complexity — every time. Collaboration improves coherence: humans and AI together outperforms either alone. Accomplishments, Built a working prototype that converts natural language into executable workflows. Demonstrated live integration with Slack, Jira, and Notion. Created a visual workflow graph with verification checks. Delivered a clean, judge‑ready demo in under 36 hours. Next Steps, Add workflow versioning and simulation mode.Expand integrations to enterprise tools (Asana, Trello, ServiceNow). Develop a team collaboration dashboard. Explore semantic verification for complex dependencies. Closing Line, Runweaver is the reasoning layer that makes automation coherent. We don’t just build workflows — we weave them.
What’s Next for Runweaver.
Runweaver doesn’t stop at generating workflows. The next phase is transforming it into a full coherence engine — a system that not only creates workflows, but maintains, verifies, evolves, and governs them across an organisation.
1. Workflow Versioning & Evolution. We’re building a version‑controlled workflow system where every change is tracked, comparable, and reversible. Version history, Diff view, Rollback support, Auto‑improvement suggestions. This turns Runweaver into “Git for workflows.”
2. Simulation Mode.
Before executing a workflow, Runweaver will be able to simulate outcomes, detect bottlenecks and highlight risks. Simulation engine, Predictive timing, Dependency validation, Failure‑path analysis. This gives teams a “flight simulator” for operations.
3. Team Collaboration Layer. Runweaver becomes a shared space for teams to design, review, and approve workflows. Multi‑user editing, Commenting on nodes, Approval gates, Role‑based access, Audit trails, This is essential for enterprise adoption.
4. Deep Integrations.
We’re expanding beyond Slack, Jira, and Notion to support a wider ecosystem: ServiceNow / Asana / Trello / GitHub ActionsAWS / Azure / GCPZapier / MakeCustom REST/GraphQL schemas. Each integration becomes a tool binding Runweaver can reason about.
5. Semantic Verification.
We’re developing a deeper verification layer that understands logic, not just syntax.Semantic contradiction detection, Missing invariant detection, Circular dependency checks, Domain‑specific rule enforcement. This is where Runweaver becomes a true coherence engine.
6. Observability&Drift Control Workflows don’t just run — they evolve. Runweaver will monitor them in real time. Step‑level telemetry, Drift detection, Auto‑correction, Human‑in‑the‑loop escalation. This ensures workflows remain coherent over time.
7. Enterprise Mode.
To support large organisations, we’re adding: SSO / OAuth Compliance modes, Encrypted workflow storage, Private model endpoints, Full audit logging. This makes Runweaver deployable in real‑world environments.
The Long‑Term Vision.
Runweaver becomes the coherence layer for every organisation. A reasoning system that understands messy intent, structures it, verifies it, executes it, and continuously improves it. Not a chatbot. Not an agent. A coherence engine.
Log in or sign up for Devpost to join the conversation.