agents

Parallel AI team workflows

One lead. Many workers. One result.

Agents is the workflow idea behind running AI teammates in parallel: split the job, give each worker a scoped lane, run the lanes at once, and bring back structured results for the lead to integrate.

leadtask decomposition researchsource sweep builderimplementation reviewerrisks + tests reportstructured merge

What makes a team useful

Scoped assignment

Each worker gets a small enough brief that progress is measurable and the output is easy to audit.

Parallel lanes

Independent work runs at the same time: source reading, UI polish, tests, implementation, review, or data gathering.

Structured return

The lead receives findings, decisions, files touched, and residual risks in a format that can be merged.

Lead integration

A single orchestrator keeps the user’s goal coherent instead of letting agents produce disconnected fragments.

Workflow shape

Divide

Find independent pieces: research, build, visual QA, code review, data entry, test writing.

Dispatch

Send bounded prompts with ownership, expected artifact, and stop conditions.

Collect

Ask for concise reports: changed files, confidence, blockers, and next actions.

Integrate

The lead reads the work, resolves conflicts, verifies, and ships the single final result.

Session board

html

Build the web surface and keep layout responsive.

app

Work in the mobile or app codebase while preserving product behavior.

adb / verify

Exercise device flows, capture issues, and return exact failures.

review

Look for regressions, missing tests, wrong assumptions, and integration risks.

Where this style of tooling helps

Codebase reconnaissance

One worker reads architecture docs, another searches call sites, and another inspects tests. The lead gets a combined map before editing.

Design and implementation

A designer-minded lane can refine copy and layout while a builder lane implements and a verifier lane checks screenshots.

Parallel review

Reviewers can independently look for security, UX, regression, and test gaps, then return findings with file references.

Long-running projects

Named lanes preserve responsibility: app, HTML, backend, ADB, Supabase, docs, and review can each keep their own thread of work.

Quality gates

Read first

Workers gather project context before writing so the lead is not integrating guesses.

Own a slice

Each worker has a narrow deliverable, not a vague mandate to improve everything.

Return evidence

Useful reports include files, command output, screenshots, blockers, and residual risks.

Lead responsibilities

Resolve conflicts

Parallel workers can disagree; the lead chooses based on evidence and source truth.

Protect the tree

Integration respects unrelated user changes and avoids broad rewrites.

Keep scope

The lead keeps the swarm attached to the user’s goal, not each worker’s curiosity.

Ship one result

The user receives a coherent outcome, not a pile of agent transcripts.

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