GPT-5.6 Sol

GPT-5.6 Sol · Prompts and workflows

Tasks you can hand to GPT-5.6 Sol

Browse executable prompts and workflows by task, content type, and runtime. Each card shows inputs, verification status, and the original source.

Runtimes vary by resource and may include an API, CLI, agent framework, or browser coding environment. Check each card for details.

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11 / 11
Source reviewedOpenAI

Design a verifiable multi-agent workflow with the Responses API

Separate judgment from deterministic processing, then combine programmatic tool calls, parallel subagents, and prompt-cache boundaries into a long-running workflow whose cost, latency, citations, and failures can be reviewed.

Content typeWorkflow
Inputsuser goal, tool schemas, agent responsibilities, cache boundaries, acceptance criteria
StatusOpenAI Responses API and a production agent harness; define tool calls and human checkpoints yourself
AgentAPI configurationcost
Source reviewedOpenAI

Route ChatGPT tasks through Sol’s reasoning settings

Run the same task at faster and deeper reasoning settings: prefer speed for short questions, then increase reasoning for planning, research, writing, coding, and decisions; OpenAI’s 68% figure is an internal relative change, not public accuracy.

Content typeConfiguration
Inputstask type, fixed acceptance criteria, speed and quality preference, client and date record
StatusChatGPT web, mobile, or desktop client; do not infer Codex or API parameters
reasoningspeed-latencyWriting
UnverifiedX

Configure Codex for a million-token context and auto-compaction

The source shows config.toml and one-session CLI examples for the model ID, a 1,000,000-token context budget, and a 900,000-token compaction threshold; confirm client support and keep a rollback configuration before editing.

Content typeConfiguration
InputsCodex version, model ID, configuration backup, context target, read-only validation task
StatusCodex CLI; confirm client version, model support, and local configuration path
CodingAgentcapability
Source reviewedReddit r/codex

Deliver code with prediction, planning, review, and verification

Split long-running coding into prediction, planning, implementation, adversarial review, and independent verification, checking the plan, tests, and stop conditions item by item; this is a commenter’s personal workflow, not Codex’s default configuration.

Content typeWorkflow
Inputsrepository, task goal, risk list, test commands, acceptance signals, stop conditions
StatusCodex, OpenCode, or a coding agent that can save plans and run tests; map stages to actual hooks or commands
CodingAgentstability
Unverifiedreddit.com

Migrate legacy API prompts to outcome-based constraints

The community discussion suggests replacing GPT-5.5-era micromanagement with an outcome, success criteria, and stop conditions; commenters reported a broken source link, so the discussion is not an OpenAI guarantee.

Content typePrompting guide
Inputslegacy system prompt, user-visible result, success criteria, permission and stop rules
StatusOpenAI API; community discussion provides context and the original guidance needs separate verification
API configurationreasoningWriting
UnverifiedOpenAI

Evaluate an Ultrafast real-time workflow against Standard

Keep inputs, tools, and acceptance criteria fixed while comparing Standard with limited-preview Ultrafast, recording time to first token, total latency, quality, and cost; OpenAI has not published the pricing, concurrency, region, or request fields needed for production code.

Content typeConfiguration
Inputsreal-time task set, identical input and tools, Standard baseline, quality threshold, fallback plan
StatusOpenAI API Ultrafast limited preview; requires account eligibility, a Standard control, and human production approval
API configurationspeed-latencyAgent
Source reviewedThe Prompt Index

Choose prompt scope and reasoning effort for Sol

Start with the smallest prompt and an effort level suited to the task, then test whether Pro mode, tool calling, or extra constraints improve a representative workload; the article also compares Claude Fable 5 and is not an independent OpenAI specification.

Content typePrompting guide
Inputsrepresentative tasks, target deliverables, quality metrics, cost or latency limit
StatusGPT-5.6 Sol API or a ChatGPT-like client; confirm exact parameters at the product entry point
reasoningWritingAPI configuration
Source reviewedGPTunneL

Structure Sol requests for long documents, images, and retrieval

Use role, goal, format, and criteria; map a long document before asking targeted questions, state exactly what an image should yield, and request sources for fresh facts. Client-specific capability claims still require verification at the actual entry point.

Content typePrompting guide
Inputsdocuments or images, target question, output format, fact-checking requirement
StatusA Sol client with document, image, and retrieval tools; source is the GPTunneL guide
Information extractionVisual prototypeWritingreasoning
Source reviewedMedium

Manage ChatGPT work with outcomes, context, and checkpoints

Replace step-by-step micromanagement with an outcome, useful context, authorized actions, and review checkpoints; the author’s descriptions of Sol, Terra, Luna, and ChatGPT Work must be checked against the current product before use.

Content typePrompting guide
Inputstarget outcome, background material, authorized actions, human checkpoints, stop conditions
StatusChatGPT or an agent that can manage long tasks; product tiers and permissions depend on the account
AgentreasoningWriting
Source reviewedReddit r/codex

Give Codex an Occam rule against over-engineering

Ask a coding agent to choose the simplest implementation that satisfies demonstrated requirements, reuse or remove existing code before adding layers, and keep clear module boundaries; the rule is community guidance, not a guarantee.

Content typePrompt
Inputscurrent requirement, repository scope, existing tests, interfaces that must not change, stop condition
StatusCodex CLI or a compatible coding agent with repository access and runnable tests
CodingAgent
UnverifiedX

Write Sol task prompts around outcomes and acceptance criteria

Frame research, coding, writing, and analysis requests with an outcome, success criteria, authority boundary, and validation method; the article’s insider attribution and internal comparison figures are not independently verified by this source.

Content typePrompting guide
Inputstarget deliverable, success criteria, tool permissions, stop conditions, validation command or review method
StatusA Sol agent or ChatGPT/API client; retrieval and file tools must be explicitly authorized
WritingreasoningAgent

GPT-5.6 Sol

Use GPT-5.6 Sol in Tabbit

After downloading, check the models and features available to your account. API and local-code steps still require their own runtime.