AI chatbot for freelance developers: qualifies project inquiries and surfaces work
SleekAI reads your portfolio, stack pages, services, and rate sheet with your own OpenAI, Anthropic, Google, or OpenRouter key, so a founder asking about a Next.js plus Postgres MVP gets a real answer with two matching projects and a realistic timeline.
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A chatbot that knows your real stack and shipped work
Freelance developers lose most leads on the same gap: a founder lands on the site, can't tell in under two minutes whether the developer has shipped something close to what they need, and bounces to the next person on the Twitter list. The portfolio page is rarely organized by stack and scope, the rate sheet is half hidden, and the contact form asks for a project brief that nobody writes well on first contact. SleekAI reads the portfolio, the stack pages, and the rate sheet, then answers the three real questions: "do you ship in my stack, have you done something my size, and what's the realistic budget."
The data path is plain WordPress. Portfolio entries live as a custom post type with ACF fields for primary stack (Next.js, Rails, Laravel, Phoenix, Django), database, hosting, project scope (MVP, feature build, audit, ongoing), duration, and outcome. Service pages describe how the developer scopes, prices, and ships. The data-source wizard maps it into context, so the bot answers "shipped a Next.js plus Postgres MVP in 6 weeks, $22k fixed-scope" rather than "contact me for a quote."
Routing handles the post-qualifier step. MVP projects route to a structured intake form, feature builds for existing apps go to a different form, audits or one-off rescues go to a third, and out-of-scope inquiries (no-budget, wrong stack) get a polite redirect to a starter template. Conversation logs in wp_posts become a quiet feed of which stacks and project sizes founders keep asking about, useful signal for what to build a portfolio entry around next.
Workflow
How SleekAI plugs into a freelance-developer site
Index portfolio and stack pages
Encode scope and budget rules
Route by project type
Use logs as backlog signal
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A typical freelance-developer conversation
Comparison
Generic chatbot vs SleekAI for freelance developers
Generic chatbot
- Can't read your portfolio CPT with stack fields
- Misses scope and budget qualifying signals
- Can't quote real project timelines or fixed-scope ranges
- Routes every inquiry to a generic Contact form
- Costs more in tokens than a solo freelancer wants to spend
SleekAI chatbot
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Reads
portfolioCPT with stack and scope ACF fields - Filters by stack, project type, and budget band
- Routes MVP, feature build, audit, and rescue to different forms
- Surfaces real project timelines and fixed-scope ranges
- Logs reveal stacks and scopes founders keep asking about
Features
What SleekAI gives you for Freelance Developers
Stack-aware matcher
Filters portfolio entries by primary stack (Next.js, Rails, Laravel, Phoenix, Django) and adjacent tools (Postgres, Prisma, Stripe, Supabase). A Next.js founder gets Next.js examples, not the one Rails monolith from two years ago.
Scope and budget pre-check
Asks scope (MVP, feature build, audit), timeline, and approximate budget band before suggesting next steps. Routes no-budget inquiries to a starter template or course rather than wasting both sides' time on a scoping call.
Intake routing
Different intake forms for MVPs, feature builds, audits, and rescues so the brief lands structured. Cuts the back-and-forth required to get to a real quote and protects deep-work time for shipping.
Use cases
Where freelance developers use SleekAI
Inbound filter
Filters out time-wasting inquiries (no budget, mismatched stack, unrealistic timeline) before they reach the inbox. The developer only sees briefs from prospects already inside the fit zone, protecting deep-work hours.
Portfolio guide
Surfaces the most relevant past project for the prospect's stack and scope. A founder who landed cold gets the right portfolio entry quoted in the first reply rather than scrolling a grid.
Scoping concierge
Captures stack, scope, and timeline in conversation so the scoping call starts with the right context. Saves 20-30 minutes per call by replacing the "so tell me about your project" warm-up with a structured brief.
The bigger picture
Why freelance developers lose leads on the portfolio page
Freelance developers usually have two failure modes on their own site. The first is the portfolio gap: a founder lands looking for a Next.js plus Postgres MVP shipper, but the portfolio grid is organized chronologically and mixes Rails monoliths with Next.js MVPs without any stack labels. The founder scans for two minutes, can't confirm the developer ships in their stack, and bounces.
The second is the budget gap: the rate sheet is half hidden or missing, the contact form asks for a project brief that nobody writes well cold, and the developer ends up running scoping calls with prospects who don't have the budget for a real project. Both failures are conversion leaks, and both are about the same problem: the site presents work in a developer-friendly order rather than a buyer-friendly order. A semantic chatbot fixes the gap because it reads the portfolio CPT's structured fields and answers a project-shaped question with a project-shaped reply.
The Next.js MVP founder gets the Next.js MVP example with the timeline and fixed-scope number. The Rails feature-build prospect gets the Rails work. Routing pulls the second lever.
Different project types deserve different intake flows, and a chatbot that asks two qualifying questions and sends each prospect to the right form converts a meaningfully higher share of the same traffic. Deep-work protection is the quiet third benefit. Freelance developers ship more code when the inbox is filtered, and filtering happens upstream of the inbox by the bot.
The developer wakes up to a daily digest of three real briefs instead of forty mixed messages, and the rest of the day is for shipping. Over a year that compounding focus is usually worth more than the chatbot license cost in a single week of recovered time.
Questions
Common questions about SleekAI for Freelance Developers
SleekAI uses your own API key (OpenAI, Anthropic, Google, or OpenRouter), so the only cost is the model tokens used. Most freelance-developer sites get 50-200 conversations a month, which lands well under $20/month on a smaller model like GPT-4o-mini or Claude Haiku. The system prompt and portfolio data are cached, so repeat questions are cheap. There's no per-message vendor markup.
 Yes. The data-source wizard maps any custom post type or ACF group into the system prompt. Portfolio entries with stack, scope, duration, and outcome fields work well, but you can also feed in a flat "about my work" page if you don't have a structured CPT. The bot reads whatever's published; it doesn't crawl behind your auth wall or read drafts.
 The system prompt is where you set the rules. You can tell the bot "only quote MVP and feature-build work, route audits to the queue is full template, refuse any inquiry under $10k budget politely." Presets and the guideline filter constrain off-topic chat, so visitors don't get the bot to discuss philosophy or write code for them in the conversation window.
 Qualification depends on the prompt. A well-written prompt asks the prospect for stack, scope, timeline, and approximate budget band before quoting comparable projects. If the prospect refuses to share budget, the bot can route to a starter template instead of pushing a free scoping call. Most freelance developers see qualified inquiries roughly double within a month, and unqualified ones drop sharply.
 Yes. SleekAI runs on any WordPress install, including single-page personal sites. If the portfolio is a hand-written HTML block rather than a CPT, you can either migrate it to a portfolio CPT (15 minutes with ACF Pro) or feed the whole page into the bot's context via the data-source wizard. Both work; the CPT path scales better as the portfolio grows.
 SleekAI is licensed per site. If you build client sites, the All Access Pass covers multiple installs under a single account, which works well for freelancers who maintain several client sites. The widget is brandable per install with colors, logo, avatar, and tone, so a client's chatbot reads as part of their brand rather than yours.
 On your WordPress install, stored with model name, token usage, and page URL. Retention is yours to set. A webhook can pipe high-intent conversations to a personal Slack or email so you see real-time inbound. For freelancers protecting deep-work time, the daily digest pattern (one email at 9am with the day's serious leads) usually works better than per-message notifications.
 Yes. Designers asking for collaboration, recruiters pitching contract roles, and sales people pitching tools all hit a freelance-developer site. The system prompt can route each category to a different response: collaboration to a partner directory, recruiters to an "open to roles" page or a polite no, sales to a clearly-marked sales inbox so you can batch-process those at the end of the week.
 Pricing
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