Can operators add new research workflows?
Yes. The pattern supports playbooks that non-technical users can refine without asking engineering to rebuild the system.
Case Study
AI Growth Research Agent for Web3 Teams
How AgentForger built an agentic research system for market, campaign, and competitor intelligence in Web3 growth workflows.
Crypto exchange growth teamRegional / global
The problem
A workflow with too much manual handoff
Growth teams needed faster market, campaign, and competitor intelligence, but analysts were stuck pulling fragmented data and waiting on internal technical support.
Strategy reports required manual data gathering from multiple trusted sources.
Non-technical operators could not easily add new research playbooks.
Reports took too long to support fast campaign decisions.
What we built
A controlled agent workflow
AgentForger built a self-improving agentic research system that collects trusted data, drafts strategy briefs, cites sources, and lets operators add new research playbooks.
- agentic research
- source citation
- playbook builder
- brief generation
- operator feedback
Results
- 87% ↓Strategy report turnaround
- 4xGrowth campaigns launched
The team reduced research turnaround and made campaign intelligence easier for non-technical operators to run and improve.
FAQ
Questions about this workflow pattern
How does the agent reduce hallucinations?
It uses trusted sources, retrieval, citations, structured prompts, and human review for campaign-sensitive outputs.
Build around one workflow