AI Agents & Chatbots
Your team is drowning in repetitive work. Codefree builds the custom AI agents and chatbots that handle it — deployed in your environment in 2 to 4 weeks with AI-native delivery.
Communication via: Slack, Email, Weekly video calls (Zoom or Google Meet), Loom videos (daily async demos on Priority Build)
What you get with this package.
You hired people to think, not to copy-paste. But 60 percent or more of their week is exactly that — answering the same support tickets on Zendesk, qualifying the same leads in HubSpot, processing the same documents. Codefree builds custom AI agents on OpenAI GPT-4 or Anthropic Claude, wired into LangChain and your existing SaaS tools (Salesforce, HubSpot, Zendesk, Intercom, Slack), that take that work off your team's plate. The agent learns your processes, talks to your CRM and helpdesk APIs, and runs without supervision — with a human-in-the-loop checkpoint for the calls that need judgement. AI-native delivery on Claude Code and Cursor across the build compresses the traditional 2 to 3 month AI-agent timeline to 2 to 4 weeks without cutting corners on code quality, evaluation rigour, or safety guardrails. Your team gets their week back to focus on the work only humans can do: strategy, exceptions, and the customers who need a person. Three tier variants — Starter for one focused workflow, Standard for multi-workflow agents with monitoring, Enterprise for multi-agent orchestration with compliance framing.
Choose your plan.
What you'll receive.
What's included
- Everything in Starter Agent
- 3 to 4 week delivery timeline with 2 revision rounds after Week 3 handover
- Custom admin dashboard for reviewing agent decisions and adjusting confidence thresholds
- Slack notifications for escalations that need human review
Not included
- Ongoing cloud hosting costs (AWS, Vercel, or your infrastructure — typically 50 to 300 USD per month based on volume)
- Third-party LLM API usage fees (OpenAI, Anthropic — typically 50 to 500 USD per month based on task volume)
- Additional integrations beyond the tier's included count (priced via the Additional Integration add-on)
- Ongoing maintenance or feature iteration beyond the included 30-day support window (available as a separate engagement)
- Fine-tuning of custom models on your proprietary corpus (see AI on Your Data package for that scope)
Optional add-ons.
Extend your package with these optional extras to get even more value.
Integrations
Additional Integration
PopularConnect one more tool or system beyond the tier's included integrations — CRM (Salesforce, HubSpot), helpdesk (Zendesk, Intercom), data warehouse, or a custom internal API.
Speed
Priority Build
Move to the front of the queue and compress the timeline to 10 to 14 days. Dedicated senior engineer plus daily async standup videos throughout the build.
Support
Extended Support Retainer
90 additional days of bug-fix and tuning support beyond the included 30, plus one review and adjustment cycle per month based on production performance data.
Add-ons can be selected during booking or added later. Start booking →
Why choose this package.
Key capabilities.
Is this the right fit for you?
This package is designed for specific types of people facing specific challenges. See if your situation matches.
Operations Manager
You are drowning in repetitive tasks that eat into strategic work time.
Your Challenges
- •Team spends 60 percent or more of the week on repetitive manual work
- •Cannot scale operations without proportionally scaling headcount
- •Quality inconsistency when different people handle the same process
- •Existing SaaS automation (Zapier, Make) breaks on any exception outside the happy path
What You Want
- •Automate repetitive workflows without losing quality or consistency
- •Free up team to focus on high-value strategic work and exceptions
- •Scale operations efficiently as business grows without linear headcount increase
Reduce manual workload by 60 to 80 percent while maintaining quality — your team focuses on strategy and exceptions, not data entry and repetitive triage.
Need Something Different?
Workflows that change weekly with no repeatable patterns to learn from. Or if your processes only live in someone's head — Codefree needs them documented (or willingly co-mapped during Discovery) before we can automate them. Also not a fit for teams needing full fine-tuning of custom LLMs on proprietary corpus — use the AI on Your Data package for that.
Perfect for these scenarios.
Technologies we use.
What you'll need to provide.
- 1.Documentation of your current workflow (or a willingness to co-map it with Codefree during the Discovery workshop)
- 2.Admin access to the systems that need integration (Salesforce, HubSpot, Zendesk, or equivalent) with read and write API scope
- 3.Sample data or synthetic dataset for testing (5 to 10 representative examples per workflow you want to automate)
- 4.A defined success metric for the agent (deflection rate, qualification accuracy, time-to-resolution, or equivalent)
How we work together.
Discovery workshop and workflow mapping
Codefree interviews 2 to 3 people on your team and produces a written workflow map — decision points, edge cases, escalation paths — that you sign off on before we touch any code. End of Day 2 you have a locked scope and a Slack channel for daily async updates.
Agent architecture and integration spec
You get a written architecture document: model choice (OpenAI GPT-4 or Anthropic Claude with tradeoff reasoning), prompt and tool structure via LangChain, the integrations Codefree is wiring, evaluation harness design, and human-in-loop checkpoint placement. Green-light gate before build starts.
AI-native iterative build with prototype review
Codefree builds against the spec in your environment using Claude Code and Cursor for velocity. End of Week 2 you get a working prototype in a staging channel to test with real inputs; Codefree iterates on your feedback before moving to production hardening.
Adversarial testing and production deployment
Red-team the agent against edge cases and failure modes, wire the human-in-loop checkpoints for critical decisions, run the evaluation harness against real production traffic, then deploy to your live environment with a rollback plan. 30-day post-launch bug-fix support kicks in from go-live.
What our clients say.
“Scholar Freedom was designed to meet two missions -- open credible research to the public and ensure academics are properly paid. Codefree.io were engaged as a no-code agency to build the platform. They began to bring the dream to life with their eye for detail, imagination, and knowledge.”
“We worked closely with Codefree developers for over a year, to develop complex apps, tools & solutions for our global client's requirements. Codefree understands the data flows, security & other technical aspects for a multi-language, multi-country, multi-platform environment.”
“CodeFree.io has been an absolute game-changer for our web app project. Their expertise in no-code development is unmatched, and their dedication to our success has been outstanding.”
Common questions.
How long does it take to see ROI from a custom AI agent?+
Can the AI agent learn from corrections and new examples over time?+
What happens if the AI agent makes a mistake or produces wrong information?+
Ready to get started?
Book this package now and let's bring your project to life. Clear pricing, fixed scope, no surprises.
Not quite right? Explore bespoke solutions for custom requirements.
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