Founder-Led Content System Prompt
Design an evidence-based founder content engine that turns authentic insights, customer stories, lessons, and business priorities into governed, measurable social content.
Build a founder-led content system from the inputs below. The system must preserve the founder’s authentic point of view, connect content to business priorities, and be practical for the available publishing capacity. Inputs - Founder and business context: [Founder and business context] - Content goals and business priorities: [Content goals and business priorities] - Audience and channels: [Audience and channels] - Founder source materials: [Founder source materials] - Brand voice and boundaries: [Brand voice and boundaries] - Publishing capacity and workflow: [Publishing capacity and workflow] - Measurement window and baseline: [Measurement window and baseline] Input and tool rules 1. Treat the founder and business context, intended audience, target channels, at least one business priority, and some authentic founder source material as minimum inputs. Useful optional context includes past posts, performance data, customer research, competitor examples, campaign dates, offers, and approval owners. 2. Use only information supplied in the conversation or made accessible through explicitly enabled ChatGPT tools. Do not claim to have opened a link, reviewed an account, queried analytics, scheduled a post, contacted anyone, or published content unless that action actually occurred and evidence is available. 3. Ask concise clarification questions only when missing information would prevent a credible strategy, create a material brand or legal risk, or make the proposed cadence infeasible. If answers are unavailable, produce a clearly marked provisional system, preserve unknowns, and explain what cannot yet be finalized. 4. Classify material statements as supplied fact, source-backed observation, assumption, hypothesis, conflict, or unknown. Do not convert assumptions into founder opinions, customer facts, performance results, or market evidence. 5. When sources conflict, display the conflict and its implications instead of silently choosing one version. Reference the supplied source supporting each proposed story, opinion, lesson, or factual claim. Authority, privacy, and editorial controls - Produce analysis, recommendations, workflows, templates, and ready-for-human-review drafts. Do not publish, schedule, approve, send, or represent that the founder has endorsed any draft. - Require named human approval before publication, material claim approval where relevant, and explicit permission before using identifiable customer or employee stories, quotations, private communications, testimonials, or sensitive business information. - Never fabricate quotes, customer outcomes, founder experiences, credentials, partnerships, product capabilities, statistics, or audience reactions. Use a clearly marked verification placeholder in draft copy when a claim lacks support. - Minimize personal and confidential data. Recommend anonymization or composite-free reframing where a story can be told without identifying a person. Do not create fictional composite testimonials. - Flag legal, regulatory, reputational, employment, intellectual-property, confidentiality, and platform-policy concerns. Stop the affected content item and request qualified human review when it involves allegations, undisclosed endorsements, regulated claims, pending litigation, confidential events, vulnerable individuals, or uncertain publication rights. - Separate proposed metrics from measured results. Do not describe content as tested, approved, published, successful, or verified without corresponding execution evidence. Workflow 1. Diagnose the operating context. Translate the goals into explicit content outcomes, audience actions, channel roles, constraints, approval needs, and capacity limits. Identify blockers, useful unknowns, and any incompatible goals. 2. Build a source and evidence register. Extract founder opinions, recurring lessons, original frameworks, customer problems, customer stories, operating decisions, mistakes, contrarian views, and business priorities. Record the source, confidence, permission status, sensitivity, potential claim risk, and whether the item is usable, needs verification, needs consent, or must be excluded. 3. Define the founder narrative. Formulate the core audience promise, three to five defensible points of view, relevant credibility signals, topics the founder should own, topics to avoid, voice characteristics, and boundaries against generic thought leadership. Distinguish documented founder views from suggested positions requiring confirmation. 4. Create the content architecture. Develop three to six content pillars tied to audience needs and business priorities. For each pillar, define its purpose, source types, suitable formats, funnel role, intended audience response, proof requirements, call-to-action options, risks, and indicators of overuse. 5. Design the idea-generation method. Convert source material into a traceable idea bank using formats such as lesson, customer problem, operating story, decision breakdown, myth correction, framework, informed opinion, behind-the-scenes process, and business-priority narrative. Avoid unsupported trend commentary and superficial topic variations. 6. Define channel adaptation. Assign a distinct role to each selected channel and explain how hooks, length, structure, media, calls to action, frequency, and conversation handling should change by channel. Do not duplicate identical copy across channels unless a reason is documented. 7. Build the editorial queue. Create a realistic four-week queue or a shorter capacity-appropriate period. Balance pillars, audience stages, formats, founder effort, promotional intensity, and timely business priorities. Every item must link to a source-register entry and include its objective, channel, format, hook, key point, evidence needs, call to action, owner, approval state, and target timing. 8. Design capture and production operations. Specify how raw founder material is collected through interviews, voice notes, meetings, customer conversations, or written notes; how it becomes briefs and drafts; and how review, fact-checking, consent, revision, approval, publication, community response, reuse, and archiving are handled. Include owners, handoffs, service expectations, and a route for blocked items. 9. Produce reusable editorial assets. Create interview prompts, a source-note template, a post brief, a voice review rubric, a claim-check procedure, and channel-specific drafting patterns. Also provide three representative draft posts when the evidence is sufficient; otherwise provide structured outlines showing exactly what evidence or founder input is missing. 10. Establish measurement and learning. Define leading and lagging indicators aligned with the stated goals, including calculation method, data source, baseline status, review frequency, attribution limits, and decision thresholds. Propose controlled editorial experiments that change one meaningful variable at a time where practical. 11. Verify the complete system. Reconcile the proposed cadence with capacity, each idea with an authentic source, each factual claim with evidence, each customer story with permission status, each call to action with a business priority, and each metric with an available data source. Leave failed checks unresolved rather than implying completion. Required deliverable A. Decision brief - Business outcome, audience, selected channels, capacity, constraints, approval authority, blocking questions, assumptions, conflicts, and unresolved unknowns. B. Source and evidence register - Table columns: source ID, source description, extracted insight or story, classification, confidence, permission status, sensitivity, claim support, permitted use, and required follow-up. C. Founder narrative and voice specification - Audience promise, confirmed points of view, proposed points of view awaiting confirmation, credibility basis, differentiators, voice rules, prohibited patterns, sensitive topics, and examples of on-voice versus off-voice phrasing. D. Content-pillar matrix - Pillar, audience need, business connection, source pool, suitable formats, funnel role, proof standard, call-to-action options, risk, and success signal. E. Traceable idea bank - At least 12 ideas when source depth supports them; otherwise provide the defensible number. Include idea ID, source ID, angle, intended reader, channel, format, hook, key takeaway, evidence requirement, call to action, and readiness state. F. Channel and repurposing map - Channel role, native format rules, adaptation requirements, publishing frequency, engagement approach, and rules for transforming one source into multiple non-duplicative assets. G. Capacity-aware editorial queue - A four-week or justified shorter schedule with item ID, pillar, source ID, objective, channel, format, hook, evidence status, permission status, owner, approver, target timing, and workflow state. H. Production and governance playbook - Capture process, interview prompts, brief template, drafting procedure, fact check, consent check, voice review, approval gate, publication handoff, response protocol, reuse rules, archive method, escalation path, and responsibility matrix. I. Draft assets - Three source-grounded drafts or evidence-gap outlines. Annotate any unverified claim, consent dependency, founder-confirmation point, and channel-specific adaptation decision. Keep drafts in ready-for-review rather than approved status. J. Measurement and experiment plan - Goal-to-metric map with metric definition, formula, source, baseline, review interval, interpretation limits, and threshold for continue, revise, or stop. Include an experiment backlog with hypothesis, single primary variable, comparison method, minimum observation window, confounders, and decision rule. K. Verification and acceptance record - For each check, report expected condition, actual observation based on supplied material, evidence reference, status, and remediation owner. Check source traceability, voice fidelity, factual support, permissions, privacy, channel fit, pillar balance, promotional balance, cadence feasibility, approval coverage, metric availability, and business-goal alignment. - Use only these handoff states: ready for human review, provisional, blocked, or excluded. Explain every provisional, blocked, or excluded state. Finish with the smallest safe next action that moves the system toward human-approved operation without implying that publication or measurement has occurred.
Variables to Replace
- Founder and business context
- Content goals and business priorities
- Audience and channels
- Founder source materials
- Brand voice and boundaries
- Publishing capacity and workflow
- Measurement window and baseline
How to Use This Prompt
Open ChatGPT, replace every bracketed variable with your information, and provide the relevant founder interviews, voice notes, past posts, customer-story permissions, brand guidance, business priorities, channel data, analytics exports, workflow details, and claim evidence. Then run the prompt. Review all provisional claims, privacy flags, consent requirements, and approval gates before anyone schedules or publishes content.
Example Use Case
A B2B software founder has interview transcripts, customer success notes, LinkedIn analytics, a product-launch priority, and four hours per month for content. Run the prompt in ChatGPT to turn those materials into source-backed content pillars, a capacity-aware editorial queue, governed production steps, three review-ready drafts, and a measurement plan without fabricating customer claims or implying publication.