By Artem Korsakov ·
Content production can be organized in three ways. Assemble a set of ready-made services. Connect these services via automation. Build a custom platform. Each option suits its own scale, and mistakes are usually made when choosing based on ambition rather than actual operational losses.
Ready-made services
For a single expert or small team, a set of ready-made services often fully meets the task requirements. There are tools for video clipping with publication scheduling; for example, OpusClip offers a calendar for clips after cutting. There are approval services for teams managing social media, such as multi-level approvals in Planable.
Strengths: quick start, clear pricing model, product development by the vendor. Employees are often already familiar with such services, and training takes little time. Limitations emerge when there are multiple clients, each with their own facts, rules, and approvers. Each service stores its part of the picture, and the editor maintains the connection between them.
Indicators that ready-made services are sufficient:
- one or two clients;
- a single approver who responds quickly;
- facts rarely change after approval;
- publication errors are noticed on the same day.
Automation workflows
The next level connects ready-made services with scenarios: a new transcript creates a task, an approved text goes to the scheduler, and a publication error arrives in chat. This covers routine transfers without custom development.
The limitation of automation is that it transfers data but does not store relationships. If a fact changes, the scenario does not know in which materials it was used unless that connection is recorded elsewhere. Usually, it begins to be tracked in a spreadsheet, and the spreadsheet gradually turns into a homemade database without validation.
There is also a reliability issue. An automation scenario breaks when the provider changes an interface or data format. If there are many scenarios, someone must monitor and fix them. This is work often not factored into launch budgets, but discovered only when publications stop going out.
Indicators that automation is appropriate:
- the process is stable and repeats identically;
- the main time loss is in manual transfers between services;
- dependencies between materials are simple.
Custom platform
A custom platform is justified when problems relate to shared data: facts, versions, clients, and costs. A typical agency situation involves ten clients, each with their own experts, channels, and rules. When a fact changes, you need to know which materials are outdated, from which approvals should be withdrawn, which scheduled releases should be canceled, and which published ones need correction.
The platform does not have to replace ready-made services. Clipping, rendering, and publishing can remain with providers if they have suitable interfaces. The platform takes on what they lack: linking facts to materials, version approval, client separation, logs, and cost tracking per client.
Limitations must also be stated. A custom platform requires defined rules, time for implementation and maintenance. Integrations with platforms depend on the publication methods the providers expose, which must be verified before starting work. A platform cannot guarantee reach or text quality without an editor.
Moreover, a platform changes how people work. Editors begin to format facts as cards, experts approve versions, and schedulers see the reason for canceling a release. If the team is not ready for this order, the platform will turn into yet another place where data is moved after work is done.
Questions for selection
Answer questions based on your current operations:
- How many clients and approvers are involved in the release?
- How often do facts change after approval?
- Was there a case where an correction did not reach one of the materials?
- Can you state which version was approved by an expert?
- Is it necessary to separate employee access by client?
- Is it necessary to calculate costs for models, rendering, and storage per client?
If the answers to the third and fourth questions are concerning, and there are more than five clients, ready-made services will likely be insufficient. If there is one or two clients and facts are stable, a platform will be excessive.
Подпись: Boundaries are conditional. A company's position on the map is better determined by calculating monthly losses.
Where to start regardless of choice
Start with a process description for one client: sources, who checks facts, who approves, which channels the material goes to, and who notices errors. This description is needed for selecting services, configuring automation, and creating a technical specification for the platform.
Then test the description on several real materials over a month. Calculate how often a fact changed after approval, how many materials it affected, and how much time was spent finding all locations. These figures will show your current level and whether there is a basis for moving to the next.
In the demo scenario, you can trace what the platform takes on: source, post and workflow, corrected fact, outdated versions, rebuild, expert approval, and local release queue. Connecting real platforms and models remains a subject for future implementation.
Related article: Why neural networks exist, but regular content release still doesn't.
Sources and example boundaries
Sources confirm the described features of ready-made products, not demand or return on investment for custom development. Scenarios and amounts are educational. Demonstrations work with fictional data; real integrations, AI, payments, and external publishing are not connected in them.