Two honest ways to make a system operable by agents.
To put an AI agent in front of an existing system, you can work from the outside, driving the running system and observing its behavior, or from the inside, reading the source you own and proving its structure. Tibyaan is the inside-out one. This page compares the two approaches at the category level, without naming any product, and without a winner.
Both roads lead to a small, typed, pre-verified tool interface.
Built independently, the outside-in and inside-out approaches reach the same shape: do not hand the agent the raw surface, whether that is a raw web page or raw code. Pre-map the system into a small, typed, verified-before-served set of tools, and expose it over MCP, the open protocol agents use to call tools.
That two approaches converge on the same shape from opposite sides of the source-availability line is real evidence the shape of the idea is sound. It is not evidence of anything more, and this page does not stretch it into one.
Outside-in observes. Inside-out proves.
| Outside-in (observe) | Inside-out (prove), Tibyaan | |
|---|---|---|
| Input | A running system you do not own and cannot see inside. All you can do is drive it and observe. | The source of a system you own, read as a white box. |
| Method | Infer the system's shape and actions, then empirically verify the inference works, discarding low-coverage results. | Prove each capability from framework contracts and code structure. Anything unprovable is refused with a located reason. |
| Truth model | Empirical: it worked when verified, and is re-verified over time as the system drifts. | Structural: the binding is proven from source, and regenerated from source at build time. |
| Failure mode | May occasionally act wrongly; relies on verification and recovery to catch and repair it. Coverage bought with a safety net. | Refuses at generation time when uncertain, so the failure surface is coverage, not correctness. Trust bought with a coverage ceiling. |
| Best domain | The open web and third-party systems with no API and no source. | Backends whose source the adopter owns. |
Neither wins in the abstract. The input decides.
For a system you cannot read, a third-party site with no API, black-box observation is not merely reasonable, it is the only option, and inferring then empirically verifying is the correct method: verification bounds the error of a guess that cannot be avoided.
Tibyaan cannot run there at all. With no source to read, there is nothing to prove.
For a backend you own, the source is the ground truth, and reading it is strictly stronger evidence than observing behavior from outside. Structural proof removes the guess rather than bounding it.
Which trade is right depends on blast radius. A failed consumer-web errand is retried and shrugged off, so coverage-with-recovery fits there. A business backend silently reading the wrong entity into an agent's context is the failure Tibyaan exists to never produce, so refusal-over-guessing fits here.
The full, sourced comparison against a specific external system, held to a stricter standard than this page (their claims marked as vendor claims, ours cited), lives in the repository: docs/competitive-landscape.md (opens in a new tab).