Title: Community-Built GTM Agent Using Deep Agents and LangChain...
URL Source: https://www.bestblogs.dev/status/2038666570772459997
Published Time: 2026-03-30 17:16:01
Markdown Content: I rebuilt @LangChain GTM agent on @DeeplineCLI + Deep Agents in under an hour. ... Then spent 2 hours debugging the Slack API. But such is life.
Comment repo or DM me if you want the setup guide & configs I didn't include in the public repo.
Here's what worked, what broke, and what I'd do differently.
LangChain published how their internal GTM agent drove 250% more lead conversions. blog.langchain.com/how-we-built-l…
The architecture is solid. Deep Agents for orchestration, bunch of data sources for context, Slack for rep approvals.
If you wanted to build this from scratch - majority of the time would be figuring out what data sources + providers to use, testing those, and then customizing the prompts for your use cases.
That's what Deepline does for agents like Claude Code & Deep Agents. One API key, tool calls for 32+ providers. Ex. Waterfall enrichment, CRM, outreach tools.
So I wired Deep Agents to Deepline's API, and had a working waterfall enrichment agent on @Railway in < 30min (also first time using that, huge fan).
~200 lines of config.
What actually went wrong:
- Slackbot - Spent an hour just getting the signing secret + bot token wired correctly with event & interactivity hooks. Would just use a manifest template if I did this again.
- Conversation memory. Will add something like Redis. Without it, every Slack thread isn't very stateful.
- Provider timing, less so rate limiting. Some enrichment tasks take 8-10 seconds to respond. The waterfall is 10 providers deep. If you're unlucky and the first 3 timeout, a simple "find the email for Jane at Ramp" takes 30+ seconds. Need better task management.
What still needs work:
- Batch operations. Right now it's one contact at a time. Need to add CSV upload + async processing.
- Better error messages. When a provider fails, the agent just says "I couldn't find that." Not helpful. Should say which providers it tried and why they failed.
- Cost tracking. No visibility into how much each query costs across providers.
If you're building GTM agents and want something that just works, might save you some time!
Any agentic GTM workflows you're trying to solve right now?