# Community Contribution: SDR Agent (B2B SaaS Outreach + Deep Research)

**A production-oriented business application that enables Sales Development Representatives to generate, validate, and deliver professional outbound emails through a multi-agent workflow.**

Repository: [habeneyasu/sdr-agent](https://github.com/habeneyasu/sdr-agent)

## Why This Project Stands Out

- **Use-case first architecture:** Designed around practical SDR execution for B2B SaaS, not generic prompt experimentation.
- **Clear capability separation:** A primary SDR flow and a secondary deep-research flow are intentionally scoped for operator clarity.
- **Operationally complete workflow:** Content generation and SendGrid delivery are integrated end-to-end in the same runtime.
- **Structured agent contracts:** Typed outputs and specialized agents improve consistency, maintainability, and failure isolation.
- **Platform portability:** OpenAI-compatible provider abstraction and environment-driven configuration support flexible deployment targets.

## System Design at a Glance

`SDR Agent` is organized as two coordinated execution paths:

1. **SDR Path (Primary):** Generate a professional outbound cold email from a business topic and dispatch it.
2. **Deep Research Path (Secondary):** Plan targeted searches, run concurrent research, synthesize a long-form report, and prepare for distribution.
3. **Quality and Risk Controls:** Guardrail validation can be applied before final release.
4. **Delivery and Handoff:** Final artifacts are formatted and sent through SendGrid-enabled tooling.

This design aligns with common industry goals: reduced time-to-outreach, higher output consistency, and controlled automation risk.

## Technical Highlights (Industry Best Practice Lens)

| Area | Implementation | Why It Matters |
| --- | --- | --- |
| Product Architecture | SDR-first Gradio UX with Deep Research as secondary capability | Keeps the highest-value user journey central |
| Workflow Orchestration | Dedicated managers for SDR and research pipelines | Supports maintainable flow control and easier debugging |
| Agent Design | Planner, Search, Writer, Email agents with typed contracts | Enforces predictable interfaces and structured outputs |
| Execution Model | Concurrent search orchestration in research phase | Improves throughput and response times |
| Provider Abstraction | OpenAI-compatible integration with OpenRouter support | Reduces vendor lock-in and enables model agility |
| Delivery Reliability | SendGrid integration with environment-configured mail settings | Supports production email handoff patterns |

## Key Repository Areas to Explore

- `src/sdr_agent/app.py`: SDR-first Gradio app entrypoint and runtime bootstrap.
- `src/sdr_agent/manager.py`: SDR orchestration and outbound email generation flow.
- `src/sdr_agent/agents/research_manager.py`: Deep-research planning, concurrency, synthesis, and delivery coordination.
- `src/sdr_agent/agents/planner_agent.py`: Search planning logic and typed search plan outputs.
- `src/sdr_agent/agents/search_agent.py`: Web search summarization workflow.
- `src/sdr_agent/agents/writer_agent.py`: Long-form report synthesis.
- `src/sdr_agent/agents/email_agent.py`: Email formatting and SendGrid dispatch behavior.
- `src/sdr_agent/agents/guardrails.py`: Validation contracts and baseline checks.
- `src/sdr_agent/config.py`: Environment-driven model/provider configuration.
- `src/sdr_agent/integrations/openai_provider.py`: OpenAI-compatible provider adapter.

## Best-Practice Alignment

- **Separation of concerns:** Distinct orchestration, agent, integration, and config layers.
- **Configuration hygiene:** Secret and runtime settings externalized through environment variables.
- **Quality controls:** Guardrail layer included for pre-delivery validation.
- **Operational readiness:** Delivery channel integration is treated as core functionality, not post-processing.
- **Extensibility:** Provider abstraction enables model changes with minimal workflow refactoring.

## Strategic Takeaway

`sdr-agent` demonstrates that agentic AI creates measurable business value when workflow design, validation, and delivery are built together.  
Its strongest signal is execution maturity: **from business topic to validated outbound communication in a single, operationally coherent system.**

## Contact

If this approach fits your GTM automation roadmap or AI product strategy, connect with the project owner via the repository profile and collaboration channels.

## Reference

- Project repository: [https://github.com/habeneyasu/sdr-agent](https://github.com/habeneyasu/sdr-agent)
