Agent System Prompt Scaffold
Generates a production agent system prompt with a scoped role, tool-use policy, refusal boundaries, escalation rules, and a matching set of test cases.
{{PURPOSE}}{{TOOLS}}{{USERS}}+3 moreLibrary
Copy-ready prompts that hold up in real work. Every entry lists the variables you need to fill in, the models it has been tested against, and a short note on the technique it uses — so you can adapt it rather than just paste it.
Generates a production agent system prompt with a scoped role, tool-use policy, refusal boundaries, escalation rules, and a matching set of test cases.
{{PURPOSE}}{{TOOLS}}{{USERS}}+3 moreReads an agent execution trace to find the first step where reasoning went wrong, then maps the failure to a class and a specific prompt or tool fix.
{{SYSTEM_PROMPT}}{{TOOL_DEFINITIONS}}{{TRACE}}+1 moreA code review prompt that separates correctness bugs from style opinions, rates severity, and refuses to comment on anything outside the diff.
{{STACK}}{{INTENT}}{{CONVENTIONS}}+1 moreTurns an error and its stack trace into ranked hypotheses with the specific evidence that would confirm or eliminate each one, before proposing any fix.
{{STACK_TRACE}}{{CODE}}{{RECENT_CHANGES}}+1 moreForces the model to characterize existing behavior with tests before touching any code, so refactors preserve behavior instead of quietly changing it.
{{CODE}}{{STACK}}{{GOAL}}Converts a business question into SQL by first restating assumptions and definitions, then writing the query with a validation check the analyst can run.
{{QUESTION}}{{DIALECT}}{{SCHEMA}}+1 moreReviews summary statistics and sample rows to separate genuine data quality problems from real-world variation, ranked by impact on the intended analysis.
{{ANALYSIS_GOAL}}{{PROFILE}}{{SAMPLE_ROWS}}+1 moreBuilds image generation prompts using real photographic language — lens, lighting setup, surface, and camera position — plus a negative list and variation axes.
{{PRODUCT}}{{MATERIAL}}{{USE_CASE}}+2 moreGenerates three distinct conceptual approaches for an article illustration, each with the visual metaphor stated first and the rendering specification second.
{{THESIS}}{{PUBLICATION_STYLE}}{{PLACEMENT}}+2 moreDerives a positioning statement from customer pain and competitive alternatives, then generates headline variants that each test a different message hypothesis.
{{PRODUCT}}{{SEGMENT}}{{ALTERNATIVE}}+3 moreTurns one customer case study into a four-email outbound sequence where each message uses a different angle and no email repeats the previous ask.
{{CASE_STUDY}}{{PROSPECT_ROLE}}{{PROSPECT_COMPANY_TYPE}}+2 moreExtracts decisions, owned actions, and unresolved questions from a transcript, and refuses to assign an owner or date the meeting never established.
{{TRANSCRIPT}}{{ATTENDEES}}{{PURPOSE}}Sorts a task list against stated goals and a real hours budget, forcing explicit cuts and naming the cost of each thing that does not get done.
{{GOALS}}{{TASKS}}{{HOURS}}+2 moreProduces a research brief where every claim is tagged with its source and confidence, and unsupported assertions are quarantined instead of blended into the text.
{{QUESTION}}{{SOURCES}}{{DECISION_CONTEXT}}Builds a comparison matrix across competitors using criteria derived from buyer needs, with explicit unknowns rather than plausible-sounding filler in empty cells.
{{CATEGORY}}{{COMPETITORS}}{{BUYER_PROFILE}}+1 moreTurns a topic and audience into a structured outline with per-section word budgets, a stated thesis, and an explicit list of what the post will not cover.
{{TOPIC}}{{AUDIENCE}}{{WORD_COUNT}}+1 moreConverts rough notes into a first draft that imitates a supplied writing sample, with strict rules against inventing facts the notes do not contain.
{{VOICE_SAMPLE}}{{NOTES}}{{FORMAT}}+1 moreA two-phase editing prompt: the model first diagnoses concrete problems in your draft against named criteria, then rewrites only the passages it flagged.
{{DRAFT}}{{VOICE_NOTES}}The AI signal without the hype — new models, tools worth your time and what actually shipped. One email, no vendor pitches.
We help companies pick the right AI tools, wire them into existing systems and avoid the ones that quietly do not scale. Tell us what you are trying to build and we will tell you what we would use — no charge for the conversation.
The AI signal without the hype — new models, tools worth your time and what actually shipped. One email, no vendor pitches.