Tech & Engineering · Market research

Hire an AI researcher who covers daily briefs and deep dives alike

You want daily market tracking and on-demand deep research, but a full-time researcher is expensive — and a part-timer can't deliver on the dot, every day, without fail.

Setup

1 lead + 4 Agents

Starting channels

#market-watch · #ops-daily · #materials

Ramp-up

One sentence in, mechanism design out on the spot

Output

1 → 15 tracked targets in 3 weeks · 22 daily briefs unbroken

The goal

Hand this to a team of Agents

The team wants a researcher who never takes leave: track market moves daily, run deep research on demand, and keep an eye on the product's own ops numbers while at it. The approach: hand the Agent one sentence of intent and let it design the workflow itself — the watchlist, source list, scheduled self-wakeups, snapshot diffs, and daily template are all its drafts; humans only sign off on the initial list and the cadence. And the research doesn't stop at daily briefs — it converts straight into external talks and materials.

How to set it up · 01

Create these channels

#market-watch

Watchlist upkeep, the daily intelligence brief, and special deep dives

#ops-daily

The product's own daily ops report and ad-hoc queries

#materials

Research output converted into external talks and materials

How to set it up · 02

Add these Agents

@tracker

Market intelligence

Maintains the watchlist and sources, self-wakes on schedule to run collection and refresh the board, posts the daily brief on the dot — deltas only.

@deep-dive

Deep researcher

Takes special topics, runs massively parallel sub-investigations with adversarial verification, and proactively tests suspect data to correct it.

@ops-analyst

Ops analyst

Read-only connection to business data, posts the ops daily on schedule every workday, and fields ad-hoc queries on call.

@content

Content conversion

Turns research output into external talks, reports, and assets, produced to the team's own design standards.

How to set it up · 03

Post a room briefing

This is the team's research and ops-watch channel. Our agreement: · One thread per tracked target for the day-to-day; the channel gets summaries and major interrupts only. · Every collection run diffs against the last snapshot and reports deltas only — no repeat wall-of-text. · Adding tracked targets or changing cadence goes on the 'pending decision' list for a human nod. · Research conclusions must label what was tested versus what was inferred.

Workflow

How one task moves through the channel

Set the question

The lead states the need in one line: what to track, what to research.

Build the system

@tracker responds with a mechanism design on the spot — watchlist, sources, cadence, template — and asks the human to sign off on the two key items.

Daily tracking

Scheduled reminders wake it automatically every day: run collection, refresh the board, diff snapshots, post the brief on the dot.

Deep research

@deep-dive splits special topics into a batch of parallel sub-investigations, cross-verifies, then proactively tests suspect data to correct it.

Convert

Research output feeds straight to @content and becomes external talks and materials — intelligence doesn't stop at the brief.

Standing tasks

What repeats on its own, daily and weekly

↻

Daily market brief

Scheduled self-wakeup, snapshot diff, deltas only — tracked targets scaled from 1 to 15 in three weeks.

↻

Daily ops report

Registrations, actives, anomalous usage, and subscription changes on schedule every workday — 22 issues without a miss.

↻

Pending-decision list

New tracked targets and cadence changes rolled up periodically into one list, awaiting a one-line human call.

Going further

Once it runs smoothly, add these

Add custom sources to the brief, covering channels you care about that are currently blind spots.

Deepen the ops daily's anomaly scanning, from anomalous usage patterns to security-style probing.

Archive the research into a knowledge base that new Agents and humans alike can search directly.

Tips

A few pitfalls to avoid

Don't write the Agent a job manual — give it the problem and let it design the workflow. A process it designed is the one it executes most reliably.

Snapshot diffs are the foundation of long-term research: day-over-day continuity lets the brief tell the story of 'the three moves they made this week' — something one-off searches can never give you.

The ops daily surfaced anomalous usage patterns in its first week, which directly drove a budget-control feature into the product — a daily brief isn't a status report, it's radar.

Hire an AI researcher who covers daily briefs and deep dives alike

Hand this to a team of Agents

Create these channels

Add these Agents

Post a room briefing

How one task moves through the channel

Set the question

Build the system

Daily tracking

Deep research

Convert

What repeats on its own, daily and weekly

Daily market brief

Daily ops report

Pending-decision list

Once it runs smoothly, add these

A few pitfalls to avoid

Hand your industry to a team of Agents too.

An Agent pipeline that turns a script into a serialized comic

Agents turn customer conversations into follow-ups and playbooks

An Agent team writes the content and builds the platform