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Independent chess preparation

Preparationchanges the gamebefore move one.

We turn game evidence into an opponent forecast, a tested opening choice and a brief the player can use at the board. Built for grandmasters, coaches, national teams and serious tournament work.

One federation per agreed period. One individual player per tournament. Confidential by design.

  1. 01Scout the opponentRepertoire and habits1. d4 Nf6 2. c4 e6
  2. 02Choose the battlefieldThe opening decision3. Nc3 Bb4 4. Qc2
  3. 03Validate the lineEngine and human checks4... O-O 5. a3 Bxc3+ 6. Qxc3
  4. 04Brief the playerA file for the board6... d5 7. Nf3 dxc4
01Experience

The work is already
at the board.

During the 46th Chess Olympiad in Samarkand, we collaborated with one national team.

We keep the team unnamed because preparation relationships are private. This is a statement of collaboration, not a claim about competitive results or an endorsement by the team or FIDE.

Six months through October 2026
GM02Grandmasters01 / Player collaborations
WGM01Woman Grandmaster02 / Player collaborations
WIM04Woman International Masters03 / Player collaborations
CM01Candidate Master04 / Player collaborations
02What we do

Four kinds of work.
One preparation system.

Every project starts with a decision to support. We do not send a database dump and call it preparation. We find the likely position, test the risks and make the result usable for the person who plays.

Chess position under review with analytical notes
Opening explorer · opponent sample
Bb462%
d521%
c59%
b68%
Illustrative · no client data
01 Service

Opponent Intelligence

A useful opponent file is more than a collection of games. We examine repertoire frequency alongside recent changes, preferred structures, decisions in similar positions, and how the opponent adapts after a surprise or loss. Every forecast should carry its evidence and uncertainty.

The resultA focused opponent brief that helps the player and coach decide where to spend preparation time.
Explore the work
Chessboard and opening research material on a dark desk
Candidate paths · ranked
  • 4. Qc2★★★Fits repertoire
  • 4. e3★★★Solid backup
  • 4. Nf3★★★Transposes
Illustrative · no client data
02 Service

Opening Preparation

The top engine move is not automatically the best tournament choice. We compare candidate lines for theoretical soundness, player fit, opponent likelihood, practical complexity, and learning cost. The final path should remain playable when the opponent leaves the main line.

The resultOpening choices and files that make the next training session more decisive.
Explore the work
Chess game records and abstract analysis on a workstation
Move-choice hypothesis
  • Bxc3+
    74%
  • Be7
    18%
  • Ba5
    8%
Held-out check pending · research stageIllustrative · no client data
03 Research-stage

AI Player Modeling

Player modeling is a research capability. It can surface hypotheses about move choice and style, but no model should be treated as a reliable substitute for a human opponent without task-specific validation.

The resultA transparent research assessment, with clear limits on what the model can and cannot support.
Explore the work
Tournament chessboard and preparation notes before a round
Event rhythm · rounds 1–9
R1scoutedR2scoutedR3briefedR4playedR5reviewedR6reviewedR7playedR8briefedR9scouted
Illustrative · no client data
04 Service

Tournament Preparation & Support

Tournament preparation changes quickly. We set the mission for each round, account for the player’s time and energy, compress the analysis into a usable briefing, and assess the preparation after the game independently of the result.

The resultA practical preparation rhythm that supports decisions throughout an event.
Explore the work
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03 · The method

A good line is
only the beginning.

Preparation starts with the match goal, color, time and player. It moves through opponent evidence and technical checks, then ends with a concise player briefing and a post-game review. The result is judged separately from the quality of the preparation.

The seven-stage framework
The question is never only“What does the engine say?”It is also“What can this player use?”
04From mission to review

Seven decisions.
One usable brief.

A repeatable framework that lets the analyst, coach and player know what has been checked, what remains uncertain and what matters before the round.

Stage 01 / 07Before the database: goal, colour, time.
  1. 01

    Define the mission

    Set the result goal, color, time budget, and player’s needs before opening a database.

  2. 02

    Know your player

    Map repertoire, familiar structures, practical strengths, and preferred information load.

  3. 03

    Scout the opponent

    Study recent games, likely responses, decision patterns, and the strength of the evidence.

  4. 04

    Choose the battlefield

    Compare candidate openings for soundness, player fit, opponent likelihood, and learning cost.

  5. 05

    Validate the lines

    Test best defense, deviations, tactical risk, human plans, and counter-preparation.

  6. 06

    Brief and rehearse

    Compress the work into a player-ready file and test recall of plans, not only moves.

  7. 07

    Review the game

    Assess the preparation separately from the result, then update the next opponent and player files.

05What reaches the player

Research has to
survive the handoff.

One project may produce three distinct layers. The analyst needs the full evidence; the player needs the important lines and plans; the final rehearsal checks decisions under time pressure.

01 / 03Complete research

Analyst Master File

Candidate lines, alternatives, sources, evaluations, and risk notes for the analyst and coach.

02 / 03Decision-ready

Player Preparation File

The lines, critical positions, ideas, and likely deviations the player can realistically review.

03 / 03Ready to play

Final Recall Check

A short rehearsal that checks understanding of plans and decisions, not only memorized moves.

Match-specificFor the next opponent

A focused brief for a known color, result goal and preparation window.

Long-termFor the season ahead

Develop and retain opening ideas that can be adapted when the next opponent becomes known.

06The people

Five people.
One preparation team.

From game collection and AI research to grandmaster direction, player training and controlled delivery, every role has a place in the final brief.

01 / 05
AI engineering · chess research

Alireza Karkon

Founder & Head of Analysis

Author of a 2026 preprint on human-centered chess move classification.

02 / 05
Grandmaster · competitive direction

GM Masoud Mosaddeghpour

Chess Director

FIDE Grandmaster, player ID 12519278.

03 / 05
Federation coach · player preparation

Mohsen Mosaddeghpour

Training & Methodology

Listed as a Grade 1 chess coach in a federation training announcement.

04 / 05
Information custody · delivery operations

Aida Fonouni

Operations & Coordination

Coordinates controlled access to project files and preparation outputs.

05 / 05
Game collection · research pipeline

Shayan Zarfeshan

Data & Research Analyst

Collects and organizes game records for opponent research.

Meet the full team
07The conditions of trust

No divided loyalties.
No exposed preparation.

Exclusivity and confidentiality are part of the service, not footnotes. We agree the competitive boundary and information handling before analysis starts.

01 Standard

No divided loyalties

We accept one federation engagement during an agreed exclusive period. For individual tournament work, we support one player in that competition. Potential overlaps are checked before a brief is accepted.

If an engagement would put us on both sides of the same competitive situation, we decline it. The exact scope, event and dates of exclusivity are agreed before research begins.
02 Standard

Preparation stays private

Games supplied privately, opening ideas, opponent files, model outputs and preparation decisions are treated as confidential client material.

We agree who may access a file, how it is shared, and when it should be retained or removed. No identifiable client work appears in a case study or public portfolio without permission.
03 Standard

Evidence before certainty

A prediction is labelled with its evidence, sample size, recency and uncertainty. Engine checks, human approval and player rehearsal are separate states.

AI player models remain a research capability. We test them on held-out games and explain their limits before using any output to influence a practical decision.
Read the full working standards
08Start the conversation

The next game
has a context.

Tell us the event, opponent, color, timing and the decision you need help making. We first check availability and conflicts. Please keep private game files out of the first message.

Client names, unpublished lines and supplied games stay private unless disclosure is explicitly agreed.

Private inquiryNo confidential PGNs, please

Tell us what you're preparing for.

Share the context, timeline, and type of support you need. Please do not send confidential PGNs or files in this first message.

Farzin Prep