IDEASBERG_

INDEX / SAAS

VERDICT: MAYBEBERG SCORE 41/100

Internal Productivity Lab: Auto-Research for Company Workflows

Apply the auto-research loop internally to your own company's operations — continuously optimizing workflows, templates, and routing rules to reduce meetings and manual work.

▶ WATCH THE SOURCE SEGMENT — Karpathy's "autoresearch" broke the internet

01 THE IDEA

Rather than a standalone business, this is a strategic framework: treat your own company like Karpathy's GPU lab. Define internal KPIs (ticket resolution time, close rate, response time), then let AI agents continuously test and improve the workflows, templates, and routing rules that drive those metrics. Humans only intervene on high-impact decisions while the agent handles process optimization.

The business opportunity here is either building this as an internal tool for your own company (productivity gain) or productizing it as a 'company OS optimizer' sold to other SMBs and startups. The latter is a crowded space (competing with process consulting, Notion AI, etc.), but an auto-research-powered version that actually runs experiments rather than just organizing docs is differentiated. Best value as an internal capability first.

02 THE NUMBERS

EXPECTED ARR

$40K – $400K

INITIAL INVESTMENT

$10K + 150h

MONTHLY BURN

$2K + 40h

AUTOMATION

6/10

COMPETITORS

22 · SATURATED →

SKILLS

Operations / process design, AI agent development, Data analytics, Change management

03 THE VERDICT

Most valuable as an internal tool first — the productivity gains for your own company can be significant and prove the concept. As a standalone product, the market is crowded with well-funded competitors. Build it for yourself, document the results, and use those as case studies if you choose to productize. Don't build this as a first product without personal validation.

Verdict: MAYBE — read why above. Still convinced? A vetted builder can pressure-test the scope before you commit.

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04 THE FIELD

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