Football Coach AI

One place for training, matches, and team context.

An academy workspace connecting training plans, curriculum, matches, and team insights, with a source-grounded assistant and coach approval.

Explore the build

AI solutions Web apps Business systems Data & dashboards

Football coaching illustration with a passing drill on a pitch and three weekly training sessions awaiting coach review. — Original interface illustration · Synthetic demo data.View larger

At a glance

Stage: Prototype
Industry: Sports
Context: Internal product
Capabilities: 6
Technologies: 9
Year: 2026

The challenge

A football academy's decisions depend on more than a list of drills.

Coaches need to connect the team's age group, recent training, available equipment, upcoming matches, and the knowledge behind a plan. When those records sit in separate tools, the context is difficult to carry into the next session.

Football Coach AI explores a connected workspace for that work. Its assistant uses team records and coaching documents to help a coach prepare and analyze, while the coach retains responsibility for approval and scheduling.

What we built

The implemented prototype brings administration, planning, and review into one web workspace:

Academy and team context

Organizations, teams, players, memberships, equipment, and facilities provide the records behind each plan

Academy and team context

Organizations, teams, players, memberships, equipment, and facilities provide the records behind each plan

Training and curriculum planning

Coaches can review training drafts, approve sessions, and plan multi-week curricula. The planner supports schedule previews and rechecks constraints when the coach confirms

A grounded coaching assistant

Typed, permission-checked read tools connect the assistant to stored team, training, curriculum, match, and load information. Knowledge retrieval adds source references that the coach can review

Matches and observations

Fixtures, results, player statistics, and pitch-zone events give coaches a place to record and discuss what happened

Team and player insights

Analytics bring training balance, recorded load, and performance trends into a shared view. AI reviews use the information that has been recorded and identify gaps

Calendar and knowledge workflows

An internal calendar supports conflict checks. Document ingestion, indexing, and search support the coaching library; Google Calendar connection and export paths are implemented

The assistant drafts and analyzes. It does not independently schedule sessions, modify team records, or delete data. A coach with the appropriate role reviews and approves the next action.

How it works

Next.js, Go and PostgreSQL
Next.js and React provide the interface. A Go API owns business rules, authorization, and database access. PostgreSQL holds the operational records, while ChromaDB supplies a derived search index for coaching knowledge.
Permission-checked assistant access
The assistant combines permission-checked record access with document retrieval. Training drafts are validated before entering the normal review workflow. Background jobs support ingestion and calendar work, keeping those tasks separate from the interactive conversation.
Multiple organizations
The same platform supports multiple organizations, so access checks and team assignments are part of the implementation rather than something left to the interface.

Current stage

Prototype

Research
Prototype
Pilot
Production

This is an internal prototype with implemented frontend pages and corresponding backend modules. The repository includes Go tests, integration tests, and Playwright journeys. Project documentation records earlier local verification; those checks were not rerun as part of this portfolio update.

Read the full status

Live AI responses, Google sign-in, and Google Calendar acceptance depend on configured credentials and require separate validation. No production deployment, real academy client, athlete outcome, or commercial result is claimed here. Google Classroom, writing player assessments and development goals, and per-player attendance writes are outside the documented release.

Where this fits

The same pattern works when a team needs answers grounded in both operational records and internal knowledge. We connect AI assistants, business systems, and data dashboards around access rules and human decisions. Talk to our team about a workspace for your own organization.