AuraMind Research Agent

Analysts at AuraMind were each losing more than 20 hours a week to manual research. They searched dozens of sources, copied findings into spreadsheets, and reformatted everything into client-ready briefs. Quality varied depending on who did the work, and the slow turnaround meant reports often arrived after the market had moved on. Leadership wanted more research output without hiring more people.

AuraMind Technologies sells market intelligence to enterprise clients who expect fast, well-supported answers. Their old process relied on analysts working through sources one at a time, and it could not keep up. They asked us to remove the repetitive gathering work while keeping analyst judgment at the center. The finished system reached their full analyst team within a single quarter.

A coordinator breaks each research request into smaller, independent jobs. Separate agents handle gathering, reconciling, and report writing, and they pass work to each other through a shared task list instead of one long instruction. That separation keeps each agent simple and makes the whole flow easy to follow. It also means busy stages can scale up on their own as demand grows.

The gathering agent pulls live web sources and saves the original passages along with their links. A second agent then compares overlapping claims, flags contradictions, and throws out weak material. Every statement that survives keeps a link back to where it came from, so analysts can check the reasoning at any point. The final report stays grounded in evidence, not guesswork.

The reporting agent arranges the findings into a consistent template: summary, evidence, open questions. Analysts can reshape the structure before signing off, and the system remembers the preferred format for each client. Reports export as clean, ready-to-send documents. The hours that used to go into formatting simply disappeared.

Every step is logged with what went in, what came out, and how long it took, so the team can inspect any run. When a step fails, it retries on its own without losing finished work. Cost controls and rate limits are managed in one place. That visibility is what gave AuraMind the confidence to put the system behind client-facing work.

Within weeks of launch, analysts were finishing in a sitting what used to take days. Output rose sharply while the team stayed the same size. Clients noticed the consistent sourcing and started treating the briefs as more authoritative. Today, every new research request starts with the agent.

Research that used to take days now finishes in one sitting. Analysts spend their time checking conclusions and advising clients instead of gathering raw data. Every brief follows the same sourced structure, so quality no longer depends on who wrote it. AuraMind now ships far more research with the same team.

Every Devyst engagement follows a structured process: discovery, architecture, build, and handoff. This project was no different. We aligned on scope, reviewed existing systems, delivered iteratively, and handed off with documentation and runbooks.