Agentic AI & Autonomous Systems

Share Your Expertise

The field is moving beyond demos. We’re looking for publications that show practical design choices, evaluation, and reliability. If you’ve built agents with sound planning, tool use, memory, and safety — your write-up will help others build better systems.

Areas of Interest

Core Capabilities:

• Tool use, function calling, API and MCP integrations

• Planning, task decomposition, routing, and control flow

• Conversation and working memory (short- and long-term)

• Retrieval workflows and RAG (chunking, embeddings, ranking)

• Guardrails, validation, and safety policies

• Evaluation (RAGAS/DeepEval/LLM-as-judge) and test harnesses

Frameworks & Infrastructure:

• LangGraph and agent graphs; LangChain, LlamaIndex

• MCP tool servers; custom tools and connectors

• Observability, tracing, and metrics; reproducible runs

• Scheduling, retries, fallbacks, and resilience patterns

Multi-Agent Systems:

• Supervisor, hierarchical, competitive, and network patterns

• Role specialization, handoffs, and negotiation protocols

• Collaboration and conflict resolution strategies

Applied Domains:

• Copilots, chat assistants, and research agents

• Code and data workflow automation

• Enterprise knowledge search and KG-aware agents

• Business process automation and ops tooling

• Education, creative tools, and content pipelines

We welcome design docs, evaluations, and postmortems alongside implementations — clarity and reproducibility matter as much as results.

Types of Publications

Publish what you built, how you tested it, and why you made key tradeoffs. Benchmarks, ablations, and production notes are especially valuable.

Research Contributions:

• New agent architectures, planning/coordination protocols

• Surveys and comparative evaluations of frameworks

• RAG evaluation methods and datasets; agent reliability studies

• Safety/guardrail designs and failure-mode analyses

• Reproducibility studies of agent papers

Implementation & Applications:

• Production deployments with observability and SLOs

• RAG-enabled assistants (domain-specific knowledge)

• MCP tools, custom connectors, and orchestration layers

• Dev automation, code agents, and CI/CD integrations

• Business process and operations automation

Open Source & Independent Projects:

• Frameworks, utilities, memory modules, routers, planners

• Evaluation harnesses and dashboards

• Minimal reproducible examples and starter kits

• Personal experiments exploring new patterns

Educational & Academic:

• Tutorials and guided builds

• Capstone and course projects

How to Publish

1. Create a free Ready Tensor account if you don't already have one.

2. Click 'Start Publication' from the top menu.

3. Document in markdown; paste from notebooks and attach assets (code, datasets, diagrams).

4. Tag with keywords such as: 'agentic-ai', 'multi-agent', 'langgraph', 'langchain', 'mcp', 'tool-use', 'planning', 'memory', 'guardrails', 'rag', 'evaluation'.

5. Run automated publication assessment for instant feedback on structure and clarity.

6. Preview and publish. You can keep editing — changes apply automatically.

7. Use the share buttons to promote on LinkedIn, X, and more.

Author Resources (Recommended)

• Publishing best practices for structure, visuals, and engagement

• Example tags and titles that improve discovery

• Guidance on reporting evaluations (metrics, setup, data splits)

• Tips for sharing diagrams (state graphs, sequence flows) and tracing

• Checklist: purpose, method, results, assets, reproducibility, next steps