Either road can get an agent talking. The fork shows up when it meets real customers.
Open-source frameworks, low-code builders. Fastest to v1; the rest is yours to build.
Works out of the box. Easy, and it sells the lowest common denominator.
Shared platform. Your playbook, roles, standards and line.
With Coze, Dify or LangChain you can stand up an agent that answers customers. The real work starts the day it meets them: proving before launch that it won’t say the wrong thing, knowing today’s edit didn’t break yesterday’s behaviour, tracing a bad answer back to the turn that caused it, handing a hard customer to a person. Build those four yourself, or buy them built. And buying is not wearing someone else’s template: the platform is shared; the playbook, roles, standards and boundaries stay yours.
Every row below is something an agent runs into once it talks to real customers. Read the six, then pick a road.
Not one of the six is about whether it can hold a conversation. That was never the hard part. See the quality gate
What stops people buying is the fear of losing their own playbook. On a platform the engine is shared and the judgement is yours — four stages, each keeping the part that is yours.
What gets captured is the sales method you have proven, and knowledge bases bind to the workers you choose.
Routing, booking, follow-up and Q&A each get a boundary and an exit condition; every stage can run its own model.
Build the case set from your own failed conversations and write down what passing means.
Deal size, customer type, risk points — where a talk goes to a person is your call, not a default.
Shared platform, your business logic
Three roads, three occasions. The first two below are the times not to come to us.
Build it yourself if… / Buy generic if…
Customise on a platform if…
Conversations aren't used to train models — we call general-purpose LLM APIs and train none ourselves.
Whichever road you take, these five need answers. The ones you cannot answer are the real risk here.
“We tested it a few times” is not an answer. You need written rules: what must be said, what must never be touched. A case with no rule attached should never count as a pass.
Two things: whether the edit lands in a version you can roll back, and whether the same case set runs before it goes live.
You need the reasoning, the tool calls, what was retrieved and how long it took — not just the final reply.
Takeover has to work one contact at a time, backstage. A global switch means every handover disturbs everyone.
Models, frameworks and channels keep moving. This one is not about capability; it is about headcount.
A demo takes about 30 minutes. We walk through the playbook you have now, say which parts belong with AI and which do not, and show how each of those six works here.
Or reach us directly business@toppp.ai
