Knowledge factories and the industrialisation of knowledge work | Sonto
MMMMaaaannnnuuuuffffaaaaccccttttuuuurrrriiiinnnnggggKKKKnnnnoooowwwwlllleeeeddddggggeeee
Blog 01<br>Knowledge factories and the industrialisation of knowledge work<br>Why we believe the future is a new industrialised system of knowledge work production.
Author<br>Joshua Harris
Published<br>June 8, 2026
Reading time<br>8 min
[ SEC_01 ]<br>The knowledge factory<br>Today, professional knowledge work (finance / economics / accounting / law)<br>often operates much like pre-industrial craft production before the Industrial<br>Revolution. Individual expert humans create largely manual, bespoke reports,<br>analysis, and outputs, operating within a loose network of social contacts and<br>relationships. [1]
Pin maker's workshop: Encyclopédie 1762
Artisanal knowledge work: London 2026
Professional knowledge work still looks closer to craft production than to a standardised industrial process.
In the Industrial Revolution, one of the primary causes of the shift from craft production to industrial manufacturing was the development of machines that could increasingly replace human and animal muscle in production. Work could be broken down, standardised, concentrated, and organised around the capabilities of the machine rather than the limits of the individual craftsman.
Today, the advent of AI represents a similar kind of shift, where we have created machines (AI) that can start to replace human cognition within knowledge work. As a result, we see the same drivers that led humans to split up and standardise physical manufacturing are now leading us to similarly divide up and standardise knowledge work.
Therefore, we believe the future of knowledge work will not be defined by the<br>current focus on "how do we make an AI drop-in replacement for a current human<br>knowledge worker?" It will be defined by "how do we re-imagine the production<br>process for knowledge work itself?" [2][3][4][5][6]
This is the essence of the knowledge factory Sonto is trying to build. It is<br>about developing new processes for this new age of knowledge work. [5][6]
[ SEC_02 ]<br>The two main roles in the market today<br>Right now, in the rapidly changing world of deploying AI agents, the ecosystem is concentrated around the agent providers (Anthropic / OpenAI / Google) and the harness<br>providers (i.e. the "traditional" software and tooling provided to the agent). Increasingly, companies are trying to vertically<br>integrate both (Anthropic -> Claude Code and Cursor -> Composer). [7][8][9]
Roughly speaking, agent providers are primarily focused on delivering<br>increasing raw general intelligence. Harness providers are focused on providing<br>the optimal set of tools, infrastructure, workflows, and skills that enhance<br>agents' ability to complete tasks within a given domain. [9][10]
However, these two roles currently don't provide an obvious path to a world in which 100s-1000s of agents (+ their harnesses) can collaborate in a robust way across an array of heterogeneous tasks.
The market today is largely split between those pushing raw intelligence forward and those building the harness around it.
[ SEC_03 ]<br>The missing third role<br>As we move from a world of largely singular agents to one of<br>collaborative agents, we believe a crucial third role will soon emerge as one<br>of the key drivers of AI being deployed into the real world. [6][10][11]
That new role is the knowledge factory.
Building a knowledge factory is not about improving raw intelligence or<br>enhancing the capacity of any one agent with a specialised harness. It is about<br>developing the system that enables any one agent with its harness to<br>effectively and robustly collaborate within a complex multi-stage knowledge production process specialised to a specific domain. [5][6][10][11]
Therefore, in the manufacturing analogy, an agent would be the worker on the<br>production line, the harness would be the set of tools and machines sitting at<br>its own workstation on the line, and the knowledge factory would be the set of<br>steps that define every specific task through the production process from<br>inputs to outputs. [20][21][22]
A knowledge factory is a coordinated production system for knowledge work, not just a single agent with better tools.
[ SEC_04 ]<br>Why autonomy alone is not the whole answer<br>Today, much of the frontier conversation is focused on ever more autonomous<br>agents that can complete ever longer tasks, and possibly spin up agent swarms<br>along the way. This is reflected in the current focus on the METR time-horizon<br>evaluations as a mark of frontier progress. METR's recent work suggests<br>frontier time horizons have been doubling very quickly, on the order of months<br>rather than years. [12][13]
Source: METR · Apr. 2026<br>Longer autonomous runs matter, but longer task horizons do not remove the coordination problem.
In the short term, it seems highly likely that long-running autonomous agents<br>will soon be able to produce very high-quality bespoke work and reports...