AI Chatbot for Running Coaches
SleekAI reads your training packages, race-distance programs, and intake form from WordPress and answers runners with their actual goal in mind. Bring your own OpenAI, Anthropic, Google, or OpenRouter key and keep every chat in your own database.
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Running coaches lose prospects to vague answers about pace and plan fit
A runner shopping for a coach has a specific question almost every time. Sub-3-hour marathon by Berlin, first 5K in six months, return from a stress fracture, Boston qualifier with a hilly course. The wrong reply (generic distance program, no acknowledgement of the goal race) loses the prospect to the next coach's site. SleekAI reads your packages, your race-distance specialties, and your typical block lengths from WordPress and answers in the goal's language.
Pace and training-history sorting changes the tone of every reply. A 4:30 marathoner asking about a Boston-qualifying block needs different language than a first-time 5K runner asking whether they can walk part of it. The bot reads the goal time and the current weekly mileage from the prospect's first message and matches a plan length, an intensity model (polarised, threshold-heavy, lactate-driven), and a realistic timeline.
Injury history is the screening that protects both the coach and the runner. Stress fractures, ITB syndrome, achilles tendinopathy, plantar fasciitis, and recent surgery all need a coach review before a self-serve checkout. SleekAI flags those mentions, routes the prospect to a discovery call, and never prescribes mileage, intervals, or paces on its own.
Workflow
How a running coach ships this in a weekend
Publish race-distance packages
Encode injury and pace screening
Hand off to the scheduler
Refine the prompt after week one
Try it now
A typical running coach conversation
Comparison
Generic chatbot vs SleekAI for Running coaches
Generic chatbot
- Doesn't know your race-distance specialties
- Quotes generic plan lengths without the goal race in mind
- Ignores stress fracture or tendinopathy history before checkout
- Can't tell a sub-3 prospect from a first-time 5K runner
- No log of which race distances drive the most inquiries
SleekAI chatbot
- Reads packages and race-distance specialties from WordPress
- Sorts by goal time, current mileage, and race date
- Routes injury history to a coach review
- Quotes accurate package pricing and block length
- Hands off to Calendly, Final Surge, or TrainingPeaks via webhook
Features
What SleekAI gives you for Running coaches
Goal-time aware
Maps the runner's current PR, weekly mileage, and goal race against your block lengths and intensity model. The bot quotes a realistic build, not a generic plan.
Injury screening
Catches stress fracture, achilles, ITB, plantar fasciitis, and recent-surgery mentions on the first message and routes the prospect to a discovery call instead of a self-serve checkout.
Books discovery calls
Hands the qualified runner to Calendly, Acuity, or your scheduling tool with the goal race, current mileage, and any injury notes pre-filled for the coach.
Use cases
Where running coaches use SleekAI
Packages page
Quotes monthly price, block length, weekly check-in cadence, and what's included for marathon, half, 10K, 5K, and ultra plans. Routes prospects with injury history to a discovery call instead of checkout.
About / coaching philosophy
Explains polarised versus threshold-heavy versus lactate-driven approaches at a methodology level. The bot reads the coach's published philosophy and certifications (USATF, UESCA, RRCA) from WordPress.
Intake conversation
Captures goal race, goal time, current mileage, recent PRs, training history, and injury notes in a natural conversation. Pushes structured data to the coach so the discovery call starts already pre-briefed.
The bigger picture
Why a runner's first chatbot question is a screening question
Running coaching is high-trust and high-injury. A prospect who walks into a marathon block with an unscreened achilles tendinopathy is a refund and a bad review six weeks later. A prospect who jumps from a 35-mile-per-week base into a Boston-qualifying block without a depth phase is going to break before race day.
The discovery call exists exactly so the coach can catch those mismatches before the contract starts, and the chatbot's job is to make sure the discovery call list is already pre-screened by Monday morning. Generic chatbots blow this up because their templates optimise for the close. They quote a marathon block to a postpartum runner with no clearance, they suggest a sub-3 plan to a 4:15 marathoner with no depth phase, they ignore the achilles question entirely because closing matters more in the template.
SleekAI flips the optimisation. The system prompt is configured to ask about goal race, goal time, current mileage, and injury history before quoting anything, and to refuse to prescribe weekly mileage or interval sets under any framing. Inside that boundary the bot is genuinely useful.
It sorts race distance fast, quotes the right block length, explains the coach's intensity model without writing a workout, captures the intake in conversation, and hands the runner to Calendly with everything the coach needs to prep. The discovery call ends up shorter, sharper, and more honest. The refund rate goes down because the bot caught the mismatch before the contract started.
The coach gets back the hour they used to spend on first-message replies and uses it on actual coaching.
Questions
Common questions about SleekAI for Running coaches
No, and the prompt explicitly forbids it. The bot will not prescribe weekly mileage, interval sets, long-run distances, or taper structure. That is the coach's job. The bot can explain the methodology (polarised, threshold-heavy, lactate-driven) at a marketing level and describe typical block lengths, but it will not write a Tuesday workout. That refusal is enforced in the system prompt and the guideline filter.
 Indirectly. SleekAI does not write into TrainingPeaks or Final Surge directly. It captures the discovery call booking, the goal race, the current mileage, and the injury notes, then pushes the lead via webhook or email. The coach onboards the runner inside TrainingPeaks the same way they would after a phone consultation, with everything pre-briefed.
 If you publish them on WordPress, yes. List the distances you coach (5K, 10K, half, marathon, 50K and up, trail) as packages or service posts and the bot quotes them accurately. If a prospect asks about a distance you do not coach, the bot says so honestly and either declines or offers to refer. Most coaches publish the full menu plus a coach bio so the bot can answer specialty questions.
 No. The bot can describe what a typical build to a goal time looks like in terms of weekly mileage and quality sessions, but it will not predict whether the runner will hit a specific time. That kind of prediction is a coach call after a real conversation and a few weeks of data. The bot's job is to qualify, screen, and book the discovery call, not to forecast a finish line.
 On the first message. The system prompt is configured to ask about recent injuries before quoting a plan and to recognise stress fracture, achilles tendinopathy, ITB, plantar fasciitis, hip impingement, and recent surgery as flags. Those prospects are routed to a discovery call with the coach. The bot does not prescribe a return-to-run progression and does not diagnose anything.
 Yes. Use display conditions to show a marathon-focused bot on the marathon-block page and a beginner-friendly 5K bot on the couch-to-5K page. The marathon bot leans into goal time, weekly mileage, and Boston qualifying; the 5K bot leans into completion, walk-run intervals, and first race confidence. Each can have its own tone, presets, and system prompt.
 If the calculators live on a public WordPress page, the bot can describe what they do and what the runner should plug in. It will not compute lactate threshold or training zones directly because those are the coach's call after a field test. The bot can hand off the result to the discovery call once the runner has the numbers.
 Yes. SleekAI is bring-your-own-key, so prompts go from your WordPress server directly to OpenAI, Anthropic, Google, or OpenRouter. Conversation logs stay in your WordPress database, not in a SaaS dashboard. Set retention to match your privacy policy and document the chatbot in your intake disclosure.
 Pricing
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