The three type of chess engine and four level of bot creation.

Basic info on the different type of chess engine and bot possibility. I had discussion with titled players and on forum and it turned out that few even understand how Camille is different structurally from present chess engine and the creation for bot creation :-)

Camille is completely free for website if any one is interested to integrated the system :-) .

THREE TYPES OF CHESS ENGINES

Algorithmic (Stockfish, Rodent IV): search millions of variations deep, score each resulting position, and pick the move leading to the best score. Strength comes from depth and a finely tuned evaluation. Personality, if any, comes from tunable evaluation weights.

Neural network (Maia, Leela): a network trained on past games answers "what move fits this position?" in one pass (Maia) or guides a search (Leela). Strength and style come from the training data. To change behavior, you load a different model; the internal knobs are not tunable.

Camille: searches like an algorithmic engine, but inside a profile that you write. It applies rules forbidding or preferring moves, per-piece values, phase changes, objectives that turn on and off, and the option to route moves to Stockfish or Maia when useful. Strength comes from playing the best move that fits the chosen personality.

THE FOUR LEVEL OF BOTS

Level 1: Post-Search Filter / Model Selection

The engine searches for moves and produces a pool of candidate moves, and an independent piece of software chooses among them.

The engine's search tree is unchanged; it produces the same results regardless of the bot software. The best move is not always selected, so more calculation is spent on each move.

The filter can change during the game: adaptive-difficulty bots adjust their wrapper or swap models mid-match based on how the player is doing.

Typical bots: a weakened Stockfish, and similar wrappers.

Level 2: Tunable Evaluation Weights

This level applies to Rodent IV and classical engines. The engine's own evaluation has knobs; you change them, and the engine searches with the new weights (positional, tactical, king safety, pawn structure, etc.).

The search tree is shaped by the personality, so every node is scored under the modified evaluation.
The engine plans coherently around its style.
It is limited to the available parameters and to what the evaluation function can naturally express. You cannot say "never trade this specific bishop," because that is not a number in a weighted sum.

Neural-network evaluations cannot be tuned this way. Maia and other NN engines have no Level 2 surface, since changing them requires retraining rather than configuration.

Typical bots: Rodent IV personality files (Aggressive, Positional, Defender, Pawn Sacrificer, and so on); Fritz with style sliders (the Fritz 20/21 "Style Engine" exposes aggression, positional, and risk-taking parameters); and the King (the Chessmaster engine).
An engine capable of Level 2 can also use Level 1 techniques to create bots.

Level 3: Configurable Rules, Values, and Search Constraints (Camille)

Camille, like an algorithmic chess engine, looks for the best move, and the best move is always returned (unless you add flaws). You can change the value of some parameters, as in Rodent IV, but the search is done inside the rules and restrictions that you define. Moves that go against them are not considered.
Camille's Rule and Restriction System

Five rule types: Forbid (cut moves from the search), Prefer (boost a move's ranking or score), Force (mandate a move when conditions match), Re-value (change a piece's worth), and Set objective (toggle evaluation modules such as king-attack or fortress).
Targeting: rules apply to a specific tracked piece, a piece type, squares or zones, move types (captures, checks, sacrifices, and so on), or patterns. These can be composed into a single complex rule.
Conditions: these gate when a rule is active, based on king position, material, move number, structure, opponent actions, phase, or plan state, and they chain with AND/OR.
Strictness: Hard (removed from the search), Strong (large penalty, broken only under tactical pressure), or Soft (minor de-boost). Strictness can vary by phase, describing a personality that loosens over the course of the game.
Phases: named rule bundles (opening, middlegame, endgame, plus custom ones) that swap automatically when their exit conditions match.

The number of possible bots runs into the billions.

Training bot: a bot that moves only to protected squares, a bot that lets you develop on one part of the board, a bot that opens by trying to castle as soon as possible, or a bot that develops certain pieces only.

Challenge bot: add a restriction and see whether you can beat a 2500-Elo bot.

Joke bot: it is very easy to break a bot. A bot that can only move to protected squares will in fact be unable to take a piece unless it has two pieces attacking it at once, making a bot that seems to play normally but cannot do much once you start attacking.

Level 4: Multiple Chess Engines at the Same Time

Several solutions use this method (Banksia, ScorpioNNUE): you run several engines with the same bot in sequence, gated by basic conditions (evaluation, number of pieces, etc.), or you run two engines at the same time and choose the move.

Bot types: play the opening with one engine at a given level, then switch to another engine with different parameters.
Camille lets you do all of that but considerably expands the number of conditions you can set for engine switching (a full conditional system). It also adds a scout system, where one engine runs in parallel but looks only for specific things. For example, the Gotham bot, where a 2500-Elo engine run in parallel and looks only for brilliant rook sacrifices.

Hey, this looks like insightful technical analysis on the surface, but in reality it's a "masterclass" in unfalsifiable claims, category confusion, and marketing "vaporware", wrapped in plausible jargon. Claiming "Camille is completely free for website integration" about an undocumented and unverifiable system is scientifically invalid. Where is the API documentation ? The license terms ? The SDK or integration guide ? The source code or binary download ? The technical white-paper ? Until these are provided, "Camille" is vaporware, a conceptual proposal dressed as a shipped product. It's not criticism, it's basic epistemic hygiene. Besides, presenting a simplified "taxonomy" as authoritative while mischaracterizing Stockfish's architecture (Stockfish is not purely algorithmic: since 2020 it uses NNUE) undermines the entire framework. Attributing "Level 3" ("Camille's rule system") to an undocumented system while ignoring existing implementations is misleading. Offering a system as "free for integration" without providing the basic artifacts of open-source or commercial software (docs, license, repo, support) is incompetent marketing or deliberate obfuscation. In all cases, it's not credible. Throwing out "billions" is a classic marketing tactic to impress non-technical readers: it adds no technical value and distracts from the lack of concrete evidence. Presenting anecdotal implementation details as fact (the "Gotham bot"), without citation or reproducibility, is irresponsible technical communication. When making claims about a novel system, the "burden of proof" lies with the claimant. You have provided no repository, no API documentation, no license terms, no benchmarks, no peer-reviewed or community-verified testing, but only unsubstantiated assertions. This is not a technical discourse, it's a promotional rhetoric. Vaporware dressed as insight. Ciao