[2/2] OpenClaw Creator: Why 80% Of Apps Will Disappear (AI column)

Interview It was very interesting and breakthrough, but always interesting, how to translate these ideas into a practical channel.

For developers, the following can be obtained from here. If your product can be expressed as an operation, the agent can eat your UI. Therefore, the focus shifts to “agent-ready interfaces”: Tool-first thinking: turn key features into clear operations (CRUD/search/export/triggers)which can be pulled directly. The minimum is a good CLI or SDK+ examples. Documentation “as for an agent”: understandable help texts, examples of inputs / outputs, errors, limitations, idempotency where possible. Normalize Dangerous Entrances: prompt injection and unexpected actions are the basic mode if the agent reads DMs/mail/web. Test this as part of a feature, not as an edge case. Local memory = a new type of “secret”: think about what the agent stores, where the workspace lies, how it is cleaned and backed up.

If you want to see how it works, you can raise OpenClaw locally / on the test server, connect one channel, turn on pairing / alllowlist, ban dangerous tool groups and run away. 3 scenario: “search/record”, “file operation”, “browser task”. And then assess how convenient / safe / promising.

What this means for tech leaders and tech executives Reassemble the threat model: "agent with tools" is RPA + LLM + access to secrets. Policies are needed: where keys are stored, what channels are trusted, what actions require confirmation, how session/user isolation is arranged. Enter governance from memory: retension, data classification, export/deletion, audit trail – this will become no less important than logging microservices. Control of agency economics: Agent cycles can unexpectedly burn value due to context/memory/tools. We need limits, budgets, regimes, monitoring. Product strategy: if the thesis is about80% of apps are at least partially true, differentiators are shifted to (and) memory (b.) secure integration (into) trust/compliance (g.) hardware/sensors/communities

#AI #Engineering #Software #Management #Leadership #Startup #LLM #ML #Architecture